We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.

Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

Industry: Research Services
Company Size: 51-200 employees

Anthropic

Savvy Admin PROD

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

~~Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.~~

**Responsibilities**

- Implement and optimize post-training techniques at scale on frontier models

- Conduct research to develop and optimize post-training recipes that directly improve production model quality

- Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation

- Develop tools to measure and improve model performance across various dimensions

- Collaborate with research teams to translate emerging techniques into production-ready implementations

- Debug complex issues in training pipelines and model behavior

- Help establish best practices for reliable, reproducible model post-training

**You May Be a Good Fit If You**

- Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities

- Adapt quickly to changing priorities

- Maintain clarity when debugging complex, time-sensitive issues

- Have strong software engineering skills with experience building complex ML systems

- Are comfortable working with large-scale distributed systems and high-performance computing

- Have experience with training, fine-tuning, or evaluating large language models

- Can balance research exploration with engineering rigor and operational reliability

- Are adept at analyzing and debugging model training processes

- Enjoy collaborating across research and engineering disciplines

- Can navigate ambiguity and make progress in fast-moving research environments

**Strong Candidates May Also**

- Have experience with LLMs

- Have a keen interest in AI safety and responsible deployment

We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$500,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer, Production Model Post-Training

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.

This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

**Responsibilities**

**No ML or Research experience is required**

- Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results

- Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions

- Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient

- Create reusable platforms and tools that accelerate the development of new research applications

- Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage

- Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration

- Contribute to technical strategy and architectural decisions for research tooling

- Mentor other engineers and help establish best practices for research application development

**You may be a good fit if you**

- Have 5+ years of software engineering experience with a strong focus on full-stack development

- Excel at rapid iteration and shipping—you can move from concept to working prototype quickly

- Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)

- Demonstrate high agency and ability to operate independently in ambiguous environments

- Can quickly develop deep understanding of complex technical domains

- Have strong product instincts and can identify the right problems to solve

- Are proficient with modern web technologies (React, TypeScript, Python, etc.)

- Have a track record of building user-facing applications that are actually used and loved by their target audience

- Communicate effectively with both technical and non-technical stakeholders

- Care about the societal impacts of your work and are motivated by Anthropic's mission

**Strong candidates may also have**

- Experience building research tools, scientific software, or experimentation platforms

- Background in machine learning, AI research, or working closely with ML researchers

- Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools

- Built open-source tools or platforms with active user communities

- Experience with data visualization, interactive interfaces, or novel interaction paradigms

- Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)

- Experience leveraging AI/LLMs to build more powerful or efficient tools

- Previous work in creative tools, artist tools, or other domains requiring deep user empathy

- Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

**Representative projects**

- Building interfaces for collecting and managing human feedback on model outputs at scale

- Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs

- Developing visualization tools that help researchers understand model behavior and identify failure modes

- Designing reusable components and frameworks that enable rapid development of new research applications

- Building sandboxed execution environments for safely running AI-generated code

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$300,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Senior+ Software Engineer, Research Tools

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

**Key Responsibilities**

- Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

- Independently lead small research projects while collaborating with team members on larger initiatives

- Design, run, and analyze scientific experiments to advance our understanding of large language models

- Optimize and scale our training infrastructure to improve efficiency and reliability

- Develop and improve dev tooling to enhance team productivity

- Contribute to the entire stack, from low-level optimizations to high-level model design

**Qualifications**

- Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

- Strong software engineering skills with a proven track record of building complex systems

- Expertise in Python and experience with deep learning frameworks (PyTorch preferred)

- Familiarity with large-scale machine learning, particularly in the context of language models

- Ability to balance research goals with practical engineering constraints

- Strong problem-solving skills and a results-oriented mindset

- Excellent communication skills and ability to work in a collaborative environment

- Care about the societal impacts of your work

**Preferred Experience**

- Work on high-performance, large-scale ML systems

- Familiarity with GPUs, Kubernetes, and OS internals

- Experience with language modeling using transformer architectures

- Knowledge of reinforcement learning techniques

- Background in large-scale ETL processes

**You'll Thrive In This Role If You**

- Have significant software engineering experience

- Are results-oriented with a bias towards flexibility and impact

- Willingly take on tasks outside your job description to support the team

- Enjoy pair programming and collaborative work

- Are eager to learn more about machine learning research

- Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects

- Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research

- View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights

- Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

**Sample Projects**

- Optimizing the throughput of novel attention mechanisms

- Comparing compute efficiency of different Transformer variants

- Preparing large-scale datasets for efficient model consumption

- Scaling distributed training jobs to thousands of GPUs

- Designing fault tolerance strategies for our training infrastructure

- Creating interactive visualizations of model internals, such as attention patterns

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$850,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer/Research Scientist, Pre-training

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up.

This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet.

**What You'll Do**

- Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)

- Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer

- Develop measured boot implementations and runtime integrity monitoring

- Create reference architectures and security requirements for bare-metal deployments

- Integrate security controls with infrastructure teams without impacting training performance

- Prototype and validate security mechanisms before production deployment

- Conduct firmware vulnerability assessments and penetration testing

- Build firmware analysis pipelines for continuous security monitoring

- Document security architectures and maintain threat models

- Collaborate with software and hardware vendors to ensure security capabilities meet our requirements

**Who You Are**

- 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security)

- Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone)

- Strong understanding of cryptographic protocols and hardware security modules

- Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation

- Proficiency in low-level programming (C, Rust, Assembly) and systems programming

- Knowledge of firmware vulnerability assessment and threat modeling

- Track record of designing security architectures for complex, distributed systems

- Experience with supply chain security

- Ability to work effectively across hardware and software boundaries

- Knowledge of NIST firmware security guidelines and hardware security frameworks

**Strong Candidates May Also Have**

- Experience with confidential computing technologies and hardware-based TEEs

- Knowledge of SLSA framework and software supply chain security standards

- Experience securing large-scale HPC or cloud infrastructure

- Contributions to open-source security projects (coreboot, CHIPSEC, etc.)

- Background in formal verification or security proof techniques

- Experience with silicon root of trust implementations

- Experience working with building foundational technical designs, operational leadership, and vendor collaboration

- Previous work with AI/ML infrastructure security

**Deadline to apply: **None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$405,000—$485,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Platform Hardware Security

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.

**Responsibilities**

- Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on

- Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts

- Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks

- Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse

**You may be a good fit if you**

- Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry

- Have proficiency in Python and experience building ML systems

- Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems

- Are worried about misuse risks of AI systems, and want to work to mitigate them

- Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

**Strong Candidates May Also Have Experience With**

- Language modeling and transformers

- Building classifiers, anomaly detection systems, or behavioral ML

- Adversarial machine learning or red-teaming

- Interpretability or probes

- Reinforcement learning

- High-performance, large-scale ML systems

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$500,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

ML/Research Engineer, Safeguards

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Teams**

Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas:

- Developing systems that enable models to use computers effectively

- Advancing code generation through reinforcement learning

- Pioneering fundamental RL research for large language models

- Building scalable RL infrastructure and training methodologies

- Enhancing model reasoning capabilities

We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.

**About The Role**

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

**Representative Projects**

- Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.

- Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.

- Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.

- Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.

**You May Be a Good Fit If You**

- Are proficient in Python and async/concurrent programming with frameworks like Trio

- Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)

- Have industry experience in machine learning research

- Can balance research exploration with engineering implementation

- Enjoy pair programming (we love to pair!)

- Care about code quality, testing, and performance

- Have strong systems design and communication skills

- Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems

**Strong Candidates May Have**

- Familiarity with LLM architectures and training methodologies

- Experience with reinforcement learning techniques and environments

- Experience with virtualization and sandboxed code execution environments

- Experience with Kubernetes

- Experience with distributed systems or high-performance computing

- Experience with Rust and/or C++

**Strong Candidates Need Not Have**

- Formal certifications or education credentials

- Academic research experience or publication history

**Deadline to apply: **None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$500,000—$850,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer, Machine Learning (Reinforcement Learning)

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.

~~Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year.~~

~~We may also put up separate, team-specific ~~~~job postings ~~~~. In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings!~~

**You May Be a Good Fit If You**

- Have significant software engineering experience

- Are results-oriented, with a bias towards flexibility and impact

- Pick up slack, even if it goes outside your job description

- Enjoy pair programming (we love to pair!)

- Want to learn more about machine learning research

- Care about the societal impacts of your work

**Strong Candidates May Also Have Experience With**

- High performance, large-scale ML systems

- GPUs, Kubernetes, Pytorch, or OS internals

- Language modeling with transformers

- Reinforcement learning

- Large-scale ETL

**Representative Projects**

- Optimizing the throughput of a new attention mechanism

- Comparing the compute efficiency of two Transformer variants

- Making a Wikipedia dataset in a format models can easily consume

- Scaling a distributed training job to thousands of GPUs

- Writing a design doc for fault tolerance strategies

- Creating an interactive visualization of attention between tokens in a language model

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$500,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer / Research Scientist, Tokens

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up.

This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast.

**Responsibilities**

- Prototype and build new AI-powered products for cybersecurity

- Iterate quickly based on customer feedback and what you learn

- Collaborate with research teams to identify and develop new model capabilities for security applications

- Engage directly with customers and partners to understand workflows and inform product direction

**You May Be a Good Fit If You**

- Have 7+ years of experience as a software engineer

- Experience developing cybersecurity products

- Enjoy fast iteration and are energized by prototyping new ideas

- Have strong product instincts and enjoy defining what to build, not just how to build it

- Are comfortable working closely with research and go-to-market teams

- Have strong communication skills and can work effectively across functions

**Strong Candidates May Also Have**

- Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields

- Experience working with AI/ML models and building products on top of them

- Experience building agentic applications

**Deadline to apply: ** None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$320,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Software Engineer, Cybersecurity Products

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

**Responsibilities**

- Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

- Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

- Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

- Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

**You May Be a Good Fit If You Have**

- 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

- Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

- Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

- Experience designing scalable cloud architectures and integrating with enterprise systems

- Familiarity with common LLM frameworks and tools or a background in machine learning or data science

- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

- A love of teaching, mentoring, and helping others succeed

- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$240,000—$380,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Partner Solutions Architect, Applied AI

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable.

**Responsibilities**

- Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows

- Optimize encoding techniques to improve model training efficiency and performance

- Collaborate closely with research teams to understand their evolving needs around data representation

- Build infrastructure that enables researchers to experiment with novel tokenization approaches

- Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline

- Create robust testing frameworks to validate tokenization systems across diverse languages and data types

- Identify and address bottlenecks in data processing pipelines related to tokenization

- Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams

**You May Be a Good Fit If You**

- Have significant software engineering experience with demonstrated machine learning expertise

- Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments

- Can work independently while maintaining strong collaboration with cross-functional teams

- Are results-oriented, with a bias towards flexibility and impact

- Have experience with machine learning systems, data pipelines, or ML infrastructure

- Are proficient in Python and familiar with modern ML development practices

- Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes

- Pick up slack, even if it goes outside your job description

- Enjoy pair programming (we love to pair!)

- Care about the societal impacts of your work and are committed to developing AI responsibly

**Strong Candidates May Also Have Experience With**

- Working with machine learning data processing pipelines

- Building or optimizing data encodings for ML applications

- Implementing or working with BPE, WordPiece, or other tokenization algorithms

- Performance optimization of ML data processing systems

- Multi-language tokenization challenges and solutions

- Research environments where engineering directly enables scientific progress

- Distributed systems and parallel computing for ML workflows

- Large language models or other transformer-based architectures (not required)

**Deadline to apply: ** None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$320,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Machine Learning Systems Engineer, Research Tools

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.

**Responsibilities**

- Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack

- Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities

- Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents

- Review Incident Response metrics and procedures and drive continuous improvement

- Work cross functionally with other security and engineering teams

- Note: This position will require participation in an on-call rotation

**You May Be a Good Fit If You**

- 3+ years of software engineering experience, with security experience a plus and/or

- 5+ years of detection engineering, incident response, or threat hunting experience

- A solid understanding of cloud environments and operations

- Experience working with engineering teams in a SaaS environment

- Exceptional communication and collaboration skills

- An ability to lead projects with little guidance

- The ability to pick up new languages and technologies quickly

- Experience handling security incidents and investigating anomalies as part of a team

- Knowledge of EDR, SIEM, SOAR, or related security tools

**Strong Candidates May Also Have Experience With**

- Experience performing security operations or investigations involving large-scale Kubernetes environments

- A high level of proficiency in Python and query languages such as SQL

- Experience analyzing attack behavior and prototyping high quality detections

- Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics

- Experience contributing to a high growth startup environment

**Deadline to apply: **None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$300,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Security Engineer, Detection & Response

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About Beneficial Deployments**

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.

**About The Role**

We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines — and building the technical infrastructure to back that up.

You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners.

**Responsibilities**

- Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.

- Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.

- Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.

- Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

**You Might Be a Good Fit If You Have**

- 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.

- Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.

- Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.

- Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.

- A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$280,000—$320,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Applied AI Engineer, Life Sciences (Beneficial Deployments)

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Team**

Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier.

**About The Role**

As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity.

**Responsibilities**

- Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments

- Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities

- Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.

- Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows

- Collaborate to translate experimental requirements into production-ready infrastructure

- Develop large scale data pipelines to handle advanced language model training requirements

- Optimize large scale training and inference pipelines for stable and efficient reinforcement learning

**You May Be a Good Fit If You**

- Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems

- Are a strong communicator and enjoy working collaboratively

- Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads

- Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale

- Have proven track record of building large-scale data pipelines and distributed storage systems

- Excel at diagnosing and resolving complex infrastructure challenges in production environments

- Can work effectively across the full ML stack from data pipelines to performance optimization

- Have experience collaborating with other researchers to scale experimental ideas

- Thrive in fast-paced environments and can rapidly iterate from experimentation to production

**Strong Candidates May Also Have**

- Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)

- Background in building infrastructure for AI research labs or large-scale ML organizations

- Knowledge of GPU/TPU architectures and language model inference optimization

- Experience with cloud platforms (AWS, GCP) at enterprise scale

- Familiarity with VM and container orchestration.

- Experience with workflow orchestration tools and experiment management systems

- History working with large scale reinforcement learning

- Comfort with large scale data pipelines (Beam, Spark, Dask, …)

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$850,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer, Discovery

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

**Responsibilities**

- Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

- Support customers building with both the Claude API and Claude for Work

- Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

- Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

- Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

- Identify common integration patterns and contribute insights back to our Product and Engineering teams

- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

**You May Be a Good Fit If You Have**

- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

- Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

- Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

- Experience designing scalable cloud architectures and integrating with enterprise systems

- Comfortable with python

- Familiarity with common LLM frameworks and tools or a background in machine learning or data science

- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

- A love of teaching, mentoring, and helping others succeed

- Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

**Deadline to apply: **None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$240,000—$315,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Applied AI Architect, Industries

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy.

This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.

This is a high-agency role that spans all API Engineering teams: **API Core ** owns the foundational reliability and performance of the Claude API; **API Capabilities ** ships frontier model capabilities—vision, tool use, computer use—directly to developers; **API Knowledge ** builds retrieval and grounding systems that let Claude reason over external data; **API Distributability ** ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and **API Agents ** builds the infrastructure for long-horizon agentic workflows in production.

**Responsibilities**

- Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.

- Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.

- Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.

- Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.

- Mentor and develop Staff-level engineers across the org.

- Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.

**You May Be a Good Fit If You**

- Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.

- Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.

- Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.

- Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.

- Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.

- Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.

**Technical Stack**

- Languages: Python, TypeScript

- Frameworks: FastAPI, React

- Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure

- Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore

- Tools: Feature Flagging, Prometheus, Grafana, Datadog

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$405,000—$485,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Senior Staff Software Engineer, API

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities.

In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment.

Key responsibilities

- Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success

- Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams

- Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations

- Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions

- Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes

- Present complex analyses and recommendations clearly to both technical and non-technical stakeholders

- Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows

**Minimum Qualifications**

- Proficiency in Python, SQL, and data visualization tools

- Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments

- Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy

- Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences

**Preferred Qualifications**

- 6+ years of experience in data science or analytics roles

- Experience supporting B2B sales teams with data insights

- Strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts

- Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

- Comfort operating in ambiguous, fast-moving environments where creating clarity is part of the role

- A genuine interest in Anthropic's mission of building safe and beneficial AI

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$275,000—$370,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Data Scientist, Platform Product

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Team**

The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.

**What You’ll Do**

- Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.

- Penetration test specific, high value deployments.

- Contribute to AI-assisted security testing tooling and workflows.

- Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.

- Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.

**Who You Are**

- 5+ years of hands-on experience in red teaming and offensive security operations

- Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines

- Track record of discovering novel attack vectors and chaining vulnerabilities creatively

- Experience conducting adversarial simulations against well-defended environments

- Strong engineering skills (Python, Go, or similar)

- Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes

- Collaborative approach, working in close collaboration with the blue team

**Strong Candidates May Also Have Experience With**

- Prior work at organizations with state actor threat models

- Interest in AI safety and how security engineering contributes to responsible AI developments

- Background testing AI/ML systems or agentic workflows

- Familiarity with detection engineering and SIEM/EDR platforms from the defensive side

- Experience with data center security or hardware-based attacks

Deadline to apply: None. Applications will be received on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$300,000—$320,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Security Engineer, Offensive Security

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We are looking for a Research Engineer to help us train Claude specifically for virtual collaborator workflows. While Claude excels at general tasks, a lot of knowledge work requires targeted training on real organizational data and workflows. Your job will be to design and implement reinforcement learning (RL) environments that transform Claude into the best virtual collaborator, training on realistic tasks from navigating internal knowledge to creating financial models.

**Responsibilities**

- Training Claude on document manipulation with good taste, including understanding, enhancing, and co-creating (e.g., Office doc formats, data visualization)

- Designing and implementing reinforcement learning pipelines targeted at virtual collaborator use cases (productivity, organizational navigation, vertical domains)

- Building and scaling our data creation platform for generating high-quality, open-ended tasks with domain experts and crowdworkers Integrating real organizational data to create realistic training environments

- Developing robust evaluation systems that maintain quality while avoiding reward hacking

- Partnering directly with product teams (e.g., Cowork, claude.ai) to ensure training aligns with product features

**You May Be a Good Fit If You**

- Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using

- Have 5-8 years of strong machine learning experience

- Thrive at the intersection of research and product, with a pragmatic approach to solving real-world problems

- Are comfortable with ambiguity and can balance research rigor with shipping deadlines

- Enjoy collaborating across multiple teams (data operations, model training, product)

- Can context-switch between research problems and product engineering tasks

- Care about making AI genuinely helpful for everyday enterprise workflows

**Strong Candidates May Also Have Experience With**

- Creating RL envs for realistic tasks.

- Reward modeling and preventing reward hacking

- Building human-in-the-loop training systems or crowdsourcing platforms

- Working with enterprise tools and APIs (Google Workspace, Microsoft Office, Slack, etc.)

- Developing evaluation frameworks for open-ended tasks

- Domain expertise in finance, legal, or healthcare workflows

- Creating scalable data pipelines with quality control mechanisms

- Translating product requirements into technical training objectives

**Deadline to apply: **None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$500,000—$850,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer, Virtual Collaborator (Cowork)

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"

The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.

People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer".

A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, Toy Models of Superposition, Scaling Monosemanticity, and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread, Multimodal Neurons, Activation Atlases, and Building Blocks.

We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition, Superposition, Memorization, and Double Descent, and our May 2023 update), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.

We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining.

**Responsibilities**

- Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights

- Design and run robust experiments, both quickly in toy scenarios and at scale in large models

- Create and analyze new interpretability features and circuits to better understand how models work.

- Build infrastructure for running experiments and visualizing results

- Work with colleagues to communicate results internally and publicly

**You May Be a Good Fit If You**

- Have a strong track record of scientific research (in any field), and have done some work on Interpretability

- Enjoy team science – working collaboratively to make big discoveries

- Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away

- You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results

- You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null

To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability?

Familiarity with Python is required for this role.

**Role Specific Location Policy:**

- This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$850,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Scientist, Interpretability

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.

Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include...

- Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.

- AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.

- Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.

- Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research.

- Alignment Assessments: Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card), misalignment-risk safety cases, and coordination with third-party evaluators.

- Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.

- Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more.

~~Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area.~~

**Representative Projects**

- Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions.

- Run multi-agent reinforcement learning experiments to test out techniques like AI Debate.

- Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.

- Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.

- Contribute ideas, figures, and writing to research papers, blog posts, and talks.

- Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy.

**You May Be a Good Fit If You**

- Have significant software, ML, or research engineering experience

- Have some experience contributing to empirical AI research projects

- Have some familiarity with technical AI safety research

- Prefer fast-moving collaborative projects to extensive solo efforts

- Pick up slack, even if it goes outside your job description

- Care about the impacts of AI

**Strong Candidates May Also**

- Have experience authoring research papers in machine learning, NLP, or AI safety

- Have experience with LLMs

- Have experience with reinforcement learning

- Have experience with Kubernetes clusters and complex shared codebases

**Candidates Need Not Have**

- 100% of the skills needed to perform the job

- Formal certifications or education credentials

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$500,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer / Scientist, Alignment Science

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations.

You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

**Responsibilities**

- Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities

- Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform

- Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems

- Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data

- Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale

- Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports

- Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders

- Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices

**You may be a good fit if you**

- Have demonstrated proficiency in SQL and Python for data analysis and threat detection

- Have experience with large language models and understanding of how AI technology could be misused for cyber threats

- Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence

- Have experience tracking threat actors across surface, deep, and dark web environments

- Can derive insights from large datasets to make key decisions and recommendations

- Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.)

- Have strong project management skills and ability to build processes from the ground up

- Possess excellent communication skills to collaborate with cross-functional teams and present to leadership

**Strong candidates may also have**

- Experience working with government agencies or in regulated environments

- Background in AI safety, machine learning security, or technology abuse investigation

- Experience building and scaling threat detection systems or abuse monitoring programs

- Active Top Secret security clearance

**Deadline to apply**

None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$230,000—$290,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Technical Cyber Threat Investigator

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

As the Enterprise Events Lead at Anthropic, you will own the development and execution of enterprise-focused events that accelerate pipeline, deepen customer relationships, and elevate Anthropic's brand presence with key enterprise audiences. You will be responsible for designing and delivering high-impact event experiences—from major industry conferences to hosted summits, and partner activations.

In this role, you'll collaborate closely with Sales, Partnerships, Product Marketing, and Creative teams to ensure every event touchpoint reinforces Anthropic's position as a leader in safe, frontier AI. You'll bring a strategic mindset grounded in data, a talent for flawless execution under pressure, and the ability to translate complex enterprise goals into compelling in-person and hybrid experiences. This is a high-visibility role with significant cross-functional impact, ideal for someone who thrives at the intersection of strategy and logistics in a fast-moving environment.

**Responsibilities**

- Lead the development and execution of enterprise events, aligning programs to pipeline generation, account engagement, and brand objectives

- Manage a team of full time and contracted employees

- Conceptualize and produce hosted events such as executive roundtables, customer summits, and intimate dinners that support account-based marketing goals

- Collaborate with Sales and Partnerships teams to optimize meeting programs, briefing schedules, and on-site engagement strategies at events

- Partner with Creative Studio on experience design, ensuring Anthropic and Claude brands are represented consistently and compellingly

- Manage end-to-end event logistics including vendor relationships, budgets, contracts, staffing plans, and timelines

- Develop pre-event and post-event communications, including "Know Before You Go" guides, staff and speaker training, and attendee follow-up plans

- Establish and track event KPIs—including lead generation, pipeline influence, meeting volume, and attendee engagement—to measure ROI and inform future strategy

- Build scalable event processes, playbooks, and documentation to support Anthropic's growing event portfolio

- Manage relationships with external event agencies, vendors, and venue partners

- Travel on-site to events to provide hands-on logistics management and ensure seamless execution

- Drive continuous improvement through post-event analysis and stakeholder feedback

**You May Be a Good Fit If You**

- Have 18+ years of experience in enterprise event marketing, field marketing, or a related role, ideally at a high-growth B2B technology company

- Have a proven track record of executing large-scale conferences, trade shows, and hosted executive events that drive measurable business outcomes

- Are highly organized with exceptional project management skills and the ability to manage multiple complex events simultaneously

- Have experience partnering with enterprise sales teams to align event programs with pipeline and revenue goals

- Are a clear, effective communicator who can collaborate across functions—from Creative and Marketing to Sales and Executive leadership

- Have strong budget management experience, including vendor negotiation and contract management

- Are comfortable with data and analytics, using event metrics to optimize programs and demonstrate ROI

- Thrive in fast-paced, ambiguous environments and can adapt quickly when priorities shift

- Are willing and excited to travel regularly (approximately 40% of the time) for on-site event execution

- Have a genuine interest in AI and care about ensuring that transformative AI systems are developed and deployed responsibly

**Strong Candidates May Also**

- Have experience with event technology platforms (e.g., Splash, Cvent)

- Have experience building an enterprise events function or program from an early stage

- Bring a strong network of event industry contacts, including venues, production agencies, and AV partners

- Have experience with account-based marketing (ABM) strategies and how events fit within a broader demand generation ecosystem

**Deadline to apply: **None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$320,000—$400,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Marketing Events Lead, Enterprise

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

The Creative Studio is Anthropic’s in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense. The team is growing, and we’re looking for people who do excellent work to join us. The stakes are real, and there’s room to shape what all this becomes.

**About The Role**

Anthropic is looking for a Creative leader to own the vision for the Anthropic company brand — defining how Anthropic looks, feels, and communicates in the world, with a focus on our mission, our research and safety work, and our place in the broader AI landscape.

This is a rare role: one that sits at the intersection of brand strategy, editorial sensibility, and creative execution across an unusually wide range of formats and audiences. Anthropic occupies a unique position in the cultural conversation around AI — not just as a technology company, but as an organization with a genuine intellectual and moral point of view. This role is the creative steward of that position.

The Anthropic brand touches everything from brand marketing campaigns, flagship events and media partnerships to long-form content, book publishing, and internal communications. The Creative Director ensures that work across all of these channels feels cohesive, distinctive, and well-crafted while also building the team that makes it possible.

You'll work closely with brand marketing, communications, and editorial partners to translate Anthropic's mission and values into creative that resonates across a wide range of audiences — from policymakers and researchers to enterprise leaders and the broader public. You bring both a strong visual and verbal sensibility, and understand that at Anthropic, design and language are inseparable.

**Responsibilities**

- Define and evolve the creative vision for the Anthropic brand, ensuring consistency and coherence across all touchpoints — from campaigns and events to publishing and digital experiences

- Set and elevate the creative bar for the team, providing direction and feedback that pushes the quality and distinctiveness of everything we produce

- Lead creative strategy and execution for high-profile brand initiatives, including brand campaigns, flagship events, media and publication partnerships, thought leadership campaigns, and brand development work

- Develop brand positioning, messaging frameworks, and visual identity recommendations in collaboration with brand marketing and communications leadership

- Partner closely with communications, editorial, and publishing teams to ensure creative work supports and amplifies Anthropic's voice across blogs, books, newsletters, and other content

- Collaborate with events leadership and creative team to shape the creative experience at Anthropic's marquee events, including identity, branded environments, and on-site materials

- Build and grow the Anthropic brand creative team, hiring for and developing talent across design, copywriting, and other disciplines as the team scales

- Manage relationships with external creative partners and agencies where appropriate, maintaining high standards and brand alignment across all work

- Work cross-functionally with teams across the organization — including brand marketing, enterprise marketing, research, policy, and product — to ensure the Anthropic brand creative output serves a broad range of internal and external goals

**You may be a good fit if you**

- Have 15+ years of experience in creative leadership, with a track record of building or shaping a brand from the ground up — ideally at a technology company, media organization, editorial outlet, or agency operating at the intersection of ideas and culture

- Have a strong portfolio demonstrating creative vision, strategic thinking, and the ability to work across a wide range of formats — including brand foundational work, events, campaigns, digital experiences, long-form content and book design

- Are skilled at translating complex, nuanced subject matter into creative that is both compelling and accessible to diverse audiences

- Bring genuine editorial sensibility: you read widely, you care about how ideas are expressed in language, and you understand what distinguishes a beautifully made publication from a merely professional one

- Have experience hiring and developing creative talent, and can build a strong team in a fast-moving environment

- Are fluent in both visual and verbal creative — you can art direct and you can edit, and you know when the two are the same thing

- Are comfortable working in ambiguity and can balance long-term brand vision with the demands of fast-moving, high-stakes projects

- Are an excellent collaborator who can work effectively with a wide range of stakeholders — from creative teams to communications, policy, and senior leadership

- Care deeply about the societal implications of AI and are excited by the opportunity to help communicate Anthropic's mission and work to the world

- Are comfortable engaging with technical or policy-heavy subject matter and bringing it to life creatively

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$385,000—$460,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Head of Anthropic Creative, Creative Studio

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

Anthropic’s Global Safety, Intelligence, and Security (GSIS) team is responsible for protecting our people, facilities, and operations worldwide. The function spans intelligence, executive protection, investigations, travel and event security, security operations, environmental health and safety, and crisis management — and it’s growing quickly as Anthropic’s footprint, public profile, and threat surface all expand.

We are seeking a Protective Intelligence Analyst to join our GSIS team. In this role, you will play a critical part in identifying, assessing, and mitigating threats to Anthropic's people, facilities, operations, and reputation through intelligence collection, analysis, and dissemination. You'll have the opportunity to help shape the program from the ground up, establishing workflows, analytical standards, and stakeholder relationships that will scale as Anthropic grows.

This role sits at the intersection of intelligence analysis, behavioral threat assessment, and executive protection. You'll produce actionable intelligence that informs security decisions across the organization and operate across the full intelligence cycle, from collection and processing to analysis, production, and dissemination, in a high-tempo environment where the threat landscape is rapidly evolving. This is an ideal role for someone who thrives on the analytical challenge of connecting disparate data points into a coherent threat picture and translating that picture into clear, actionable guidance for decision-makers.

**Important Note: ** In this position, you may be exposed to graphic and explicit content, including material of a sexual, violent, or psychologically disturbing nature.

**Responsibilities**

- Conduct all-source intelligence collection and analysis to identify, assess and prioritize physical security threats to Anthropic and its personnel

- Produce clear, well-sourced analytical products, from quick-turn updates to in-depth analytical reports for executive delivery

- Investigate and triage concerning communications, online threats, and persons of concern using established threat assessment methodologies

- Apply behavioral threat assessment principles to persons-of-concern cases, analyzing patterns of concerning behavior, indicators of escalation toward violence, and mitigating factors to guide case disposition and ongoing threat management

- Provide intelligence support for executive protection, travel security, and major events, including pre-travel and event briefs, assessments, and real-time threat monitoring

- Monitor open-source intelligence channels, social media, deep and dark web forums, and web-based intelligence platforms for emerging threats and risks

- Track geopolitical developments and sector-specific threat trends relevant to Anthropic’s global operations and the AI industry

- Build relationships with external intelligence partners, law enforcement agencies, and industry peers working on related issues and to facilitate information sharing

**You May Be a Good Fit If You**

- Have 5+ years of professional experience in protective intelligence, corporate investigations, threat assessment, or a related discipline

- Hold a bachelor's degree or higher in a relevant field

- Have expertise in Open-Source Intelligence (OSINT) tradecraft, including proficiency with specialized intelligence tools and social media analysis platforms

- Understand how targeted violence develops behaviorally and can recognize and weigh warning behaviors, escalation dynamics, and protective factors when assessing whether a subject is on a pathway toward harm

- Have hands-on experience applying established threat assessment methodologies (e.g., TRAP-18, WAVR-21) to analyze and evaluate individuals of concern

- Excellent communication skills, with the ability to effectively tailor complex content for various stakeholders, from technical teams to senior leadership

- Can manage multiple tasks simultaneously under tight deadlines with minimal oversight

- Have a strong drive for continuous process improvement and thrive in highly collaborative environments

- Are comfortable with a flexible schedule, including 24/7 on-call rotation and after-hours response, when needed

**Strong Candidates May Also Have**

- Background in high-growth technology companies or startup

- Specialized knowledge of risks unique to the AI sector

- Professional certifications such as BTAM, CPP, PCI, or relevant intelligence community credentials

- Familiarity with privacy law and legal considerations governing intelligence collection in the private sector

Deadline to apply: None. Applications will be received on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$175,000—$220,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Protective Intelligence Analyst

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

Anthropic is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our facility — from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI — training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Key responsibilities

- Lead the build-out of automation to support datacenters containing tens of thousands of servers.

- Define and own the end-to-end server lifecycle strategy — from provisioning and deployment through operation, maintenance, refresh, and decommissioning — and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).

- Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.

- Work closely with our Networking team to ensure end-to-end connectivity across all sites.

- Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

**Minimum Qualifications**

- Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.

- End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.

- Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).

- Working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.

- Ability to communicate clearly and build consensus with a wide range of stakeholders.

- Comfort navigating ambiguity and making progress on complex, cross-functional problems.

- Willingness to travel occasionally to datacenter sites across North America.

**Preferred Qualifications**

- 8+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline.

- Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands.

- Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root.

- Experience building or contributing to datacenter automation or fleet management platforms.

- Experience building and deploying server operating system distributions across thousands of hosts.

- Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.

- Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$320,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Staff Engineer, Datacenter Server Lifecycle

Explore job opportunities at Anthropic with Savvy's AI recruiter platform. View open positions, learn about the company culture, and apply directly through our intelligent recruitment system.

Anthropic

Jobs