Meta's mission is to build the future of human connection and the technology that makes it possible. 

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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Industry: Software Development
Company Size: 10,001+ employees

Savvy Admin PROD

Meta is seeking an experienced Executive Administrative Partner to support a VP in the Meta leadership team. The person in this role will need to be a masterful problem-solver and an organizational force given complex calendaring and heavy travel planning. Additionally, the ideal candidate will have exceptional communication skills, and will be resourceful in building relationships across the larger Meta ecosystem. This position is full-time.

Executive Administrative Partner Responsibilities:

- Coordinate internal and external meetings

- Manage complex calendar set-up and movement

- Prepare expense reports and purchase requisitions

- Coordinate both domestic and international travel arrangements

- Organize space planning, strategic offsite events and team all-hands meetings

- Build cross-functional relationships between departments

- Partner closely with team lead admins

- Communicate key organizational and company updates to admins and cross-functional partners

- General office duties as needed

Minimum Qualifications:

- 5+ years of relevant experience coordinating travel logistics on behalf of 1 or more executives

- 5+ years of relevant calendar management and expense report management experience for 1 or more executives

- Experience prioritizing multiple projects

- Experience with Microsoft Office and Google Suite

Preferred Qualifications:

- BA/BS

- Experience planning, executing and driving strategic events and offsites, including both leadership and larger team offsites

- Experience supporting a global (APAC, EMEA, NORAM) team across several timezones

- Experience maintaining confidentiality and discretion in all areas of work

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$100,610/year to $144,602/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Executive Administrative Partner

Meta is seeking an experienced Executive Administrative Partner to support a VP in the Meta leadership team. The person in this role will need to be a masterful problem-solver and an organizational force given complex calendaring and heavy travel planning. Additionally, the ideal candidate will have exceptional communication skills, and will be resourceful in building relationships across the larger Meta ecosystem. This position is full-time.

Executive Administrative Partner Responsibilities:

- Coordinate internal and external meetings

- Manage complex calendar set-up and movement

- Prepare expense reports and purchase requisitions

- Coordinate both domestic and international travel arrangements

- Organize space planning, strategic offsite events and team all-hands meetings

- Build cross-functional relationships between departments

- Partner closely with team lead admins

- Communicate key organizational and company updates to admins and cross-functional partners

- General office duties as needed

Minimum Qualifications:

- 5+ years of relevant experience providing administrative support to 1 or more executives

- 5+ years of relevant experience coordinating travel logistics on behalf of 1 or more executives

- 5+ years of relevant calendar management and expense report management experience for 1 or more executives

- Experience prioritizing multiple projects

- Experience with Microsoft Office and Google Suite

Preferred Qualifications:

- BA/BS

- Experience planning, executing and driving strategic events and offsites, including both leadership and larger team offsites

- Experience supporting a global (APAC, EMEA, NORAM) team across several timezones

- Experience maintaining confidentiality and discretion in all areas of work

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$100,610/year to $144,602/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Meta’s Edge & Network Services (ENS) team is actively looking for passionate people to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. This global team offers a unique career opportunity to work with all of the latest network technologies and talented engineers solving some of the most complex problems in the industry. For this role, we are looking for a Network Engineer with solid experience in cable infrastructure and fiber connectivity solutions, including the design and build out of data centers and optical networks. We are also seeking someone who can use their coding and automation experience to help improve our data center design, construction, and facility operations and processes. Reach out to us if you are eager to innovate and contribute to our mission.

Network Engineer, Foundation & Support Responsibilities:

- Support all aspects of data center construction and network deployment including new greenfield sites, collocation build outs, and retrofits

- Collaborate with network engineering, data center design, and data center connectivity teams to generate network infrastructure design packages and solutions for the deployment teams

- Act as a subject matter expert (SME) for the physical infrastructure and design and deployment of the building management system (BMS) and controls network and other general services networks in the data center

- Partner with our software teams to ensure our Fiber Infrastructure Management tool accurately reflects network infrastructure design intent and captures any infrastructure changes

- Perform logical network bootstrapping functions to ensure our internal tools reflect network hardware and circuits

- Build and nurture business relationships with key stakeholders, partners, and vendors

- Initiate and lead strategic initiatives driving efficiency, innovation, and standardization of our data centers through the use of coding and automation

- Perform site visits and work cross-functionally with construction, design architects, and contractors to validate cabling infrastructure and network builds according to Meta standards

- Influence future iterations of data center and network designs to ensure seamless integration of new infrastructure and enable scalability

- Maintain technical reference, process, and training documentation

- Develop automation and tooling to drive consistency and efficiency in all aspects of network design, deployment, and operations

- 25% to 40% of travel required based on project demand

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- 7+ years of work experience with designing and deploying large-scale data center network infrastructure

- Demonstrated knowledge of structured cabling and fiber optic infrastructure including design and installation best practices, industry standards, application and limitations

- Knowledge of the data center design, construction, and start up/commissioning processes

- Experience leading cross-functional teams and driving large-scale data center projects

- Track record of solving problems, setting strategic direction, and executing tactically

- Working knowledge of internet networking technologies (TCP/IP, routing, switching) and optical transport technologies

- Knowledge of enterprise and provider level network hardware platforms (IP + Optical)

- Organizational, multitasking, prioritization and communication experience

Preferred Qualifications:

- Experience working with on-site construction teams and managing contractor and vendor relationships

- Knowledge of data center facilities management using building management and automation systems

- In-depth experience with inside/outside plant cable design and dark fiber builds

- Experience working on a global team in a matrixed environment with limited supervision

- Data center design or relevant telecommunications certifications

- 2+ years of programming experience in at least one language such as Python/C++/Go or other languages

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$135,000/year to $191,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Network Engineer, Foundation & Support

Meta’s Edge & Network Services (ENS) team is actively looking for a Network Engineer to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of building the future of human connection and the technology that makes it possible. This global team offers the opportunity to work with the latest data center network infrastructure technologies and talented engineers solving some of the most complex problems in the industry. For this role, we are looking for a Network Engineer with solid experience in cable infrastructure and fiber connectivity solutions, including the design and build out of data center infrastructure. We are also seeking someone who can use their coding and automation experience to help improve our data center design, construction, and facility operations and processes. Reach out to us if you are ready to innovate and contribute to our mission.

Network Engineer, Foundation & Support Responsibilities:

- Support all aspects of data center construction and network deployment including new greenfield sites, collocation build outs, and retrofits

- Collaborate with network engineering, data center design, and data center connectivity teams to generate network infrastructure design packages and solutions for the deployment teams

- Be a subject matter expert (SME) for the physical infrastructure and design and deployment of the building management system (BMS) and controls network and other general services networks in the data center

- Partner with our software teams to ensure our Fiber Infrastructure Management tool accurately reflects network infrastructure design intent and captures any infrastructure changes

- Perform logical network bootstrapping functions to ensure our internal tools reflect network hardware and circuits

- Build and nurture business relationships with key stakeholders, partners, and vendors

- Lead and drive strategic initiatives focused on enhancing efficiency, innovation, and standardization within our data center build processes to accelerate the delivery of network infrastructure

- Perform site visits and work cross-functionally with construction, design architects, and contractors to validate cabling infrastructure and network builds according to Meta standards

- Influence future iterations of data center and network designs to ensure seamless integration of new infrastructure and enable scalability

- Maintain technical reference, process, and training documentation

- Develop automation and tooling to drive consistency and efficiency in all aspects of network design, deployment, and operations

- Strategically oversee a vendor field team, ensuring their engagement and successful delivery of data center construction milestones

- 25% to 40% of travel required based on project demand

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- 8-10+ years of work experience with designing and deploying large-scale data center network infrastructure

- Demonstrated knowledge of structured cabling and fiber optic infrastructure including design and installation best practices, industry standards, application and limitations

- Knowledge of the data center design, construction, and start up/commissioning processes

- Experience leading cross-functional teams and driving large-scale data center projects

- Track record of solving problems, setting strategic direction, and executing tactically

- Working knowledge of internet networking technologies (TCP/IP, routing, switching) and optical transport technologies

- Knowledge of enterprise and provider level network hardware platforms (IP + Optical)

- Organizational, multitasking, prioritization and communication experience

Preferred Qualifications:

- Experience leading and managing technical teams

- Experience working with on-site construction teams and managing contractor and vendor relationships

- Knowledge of data center facilities management using building management and automation systems

- In-depth experience of inside/outside plant cable design and dark fiber builds

- Experience working on a global team in a matrixed environment with limited supervision

- Data center design or relevant telecommunications certifications

- 2+ years of programming experience in at least one language such as Python/C++/Go or other languages

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$162,000/year to $227,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Meta designs, builds, leases, and operates the most efficient data centers in the world. Meta is seeking a Strategic Partnerships Data Center Lead to develop Meta’s global data center portfolio in line with the company’s strategic objectives to advance our efforts around AI. This role has global responsibility for the development of the data center strategic partnership program.The Strategic Partnerships Data Center Lead supports Meta’s data center strategy by developing large-scale capacity solutions. This role focuses on rapid infrastructure expansion through partnerships with key stakeholders, such as financial institutions, developers, colocation providers, and long-term asset owners.

Strategic Partnerships Data Center Lead Responsibilities:

- Lead the strategy for structuring, negotiating, and executing complex, multi-faceted investment partnerships focused on data center development

- Grow and lead the strategic partnerships program including identification and commercial structuring of development partner opportunities to enable future data center capacity growth

- Collaborate with key leaders across design, engineering, construction, network, and legal to develop the strategic plan needed to execute against the company’s capacity targets

- Lead detailed financial modeling, valuation, and sensitivity analysis of potential investments and partnerships to ensure commercial viability and alignment with Meta's financial objectives and business objectives

- Interface with the global investment community to meet Meta’s infrastructure needs

- Travel domestically and internationally as needed (25%+)

Minimum Qualifications:

- Bachelor's degree in a directly related field, or equivalent practical experience

- 10+ years of overall experience in PE, investment banking, investments or real estate development

- 3+ years of experience in data center infrastructure

- Proven experience in financial structuring, investment and analysis, particularly in infrastructure assets

- Strategic thinker with experience driving decision making in ambiguous environments with experience influencing executive stakeholders

- Analytical problem-solving skills, experience being effective in a fast paced, hands-on work environment, and have a track record of success leading projects and developing complex solutions across multiple stakeholders

- Effective collaborator and skilled cross-functional communicator

- Demonstrated communication and presentation skills

- Proven track record of organizational leadership, including leading larger organizations and scaling teams during growth cycles

- Knowledgeable about and/or experience to quickly assess industry trends and headwinds, market opportunities, and the competitive landscape

Preferred Qualifications:

- Bachelor’s degree in business, finance, real estate, MBA or J.D

- 10+ years of commercial real estate investment and development experience

- 5+ years of experience in data center infrastructure or investment

- Proven track record of delivering large capital projects leveraging complex commercial structures

- International infrastructure development experience

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$202,000/year to $273,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Strategic Partnerships Data Center Lead

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.

AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:

- Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines

- Build specialized AI sub-agents that operate within a closed-loop discovery framework

- Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure

- Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis

- Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures

- Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates

- Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field

- 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)

- Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)

- Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs

- Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred Qualifications:

- Experience building multi-agent or LLM-orchestrated systems for scientific applications

- Publications at peer-reviewed ML or domain conferences

- Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining

- Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows

- Experience with HPC job orchestration

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$184,000/year to $257,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

AI Research Scientist — Agentic AI for Materials Discovery

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking motivated AI specialists to join our team and drive SOTA research across the Monetization organization.

Research Engineer, Monetization AI Responsibilities:

- Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques

- Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability

- Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding

- Design and implement generative modeling solutions for data augmentation

- Research and develop graph-aware large language models

- Develop and deploy AutoML pipelines

- Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason

- Use causal learning to identify and understand the cause and effect of relationships across data

- Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains

- Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position

- Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas

- Programming experience in Python and hands-on experience with frameworks such as PyTorch

- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

- Experience working and communicating cross functionally in a team environment.

- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).

- Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.

- Experience taking ideas from research to production.

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$154,003/year to $217,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Research Engineer, Monetization AI

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.

AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:

- Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines

- Build specialized AI sub-agents that operate within a closed-loop discovery framework

- Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure

- Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis

- Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures

- Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates

- Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field

- 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)

- Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)

- Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs

- Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred Qualifications:

- Experience building multi-agent or LLM-orchestrated systems for scientific applications

- Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries

- Publications at peer-reviewed ML or domain conferences

- Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining

- Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows

- Experience with HPC job orchestration

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$184,000/year to $257,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Meta is seeking an experienced Campus Construction Manager to join our Data Center Design, Engineering, & Construction (DEC) Team. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our services are delivered. Building and operating data centers the "right" way is synonymous with ensuring high uptime, capacity availability and capital conservation. The data center engineering team thinks from chip to chiller (or electrical substation), determining configurations and ensuring maximum efficiency of our compute infrastructure, and the Design Engineering and Construction - Delivery Team is committed to continual optimization of the delivery process at each level. The Campus Construction Manager will have the campus level responsibility for project success, General Contractor (GC) relationship, team development and relationship management with key cross functional partners at the site with collaboration, safety and quality unparalleled in the data center construction industry.

Campus Construction Manager Responsibilities:

- Reports to Meta Data Center Design, Engineering, & Construction (DEC) Area Director and accountable for project and campus success in: Safety, Quality, Schedule Milestones, Forecast Accuracy, GMP Accuracy

- Assume accountability for DEC Delivery’s high expectations of partnership, teamwork and growth at the campus

- Represent the DEC Delivery team in leadership meetings at the data center campus and partner effectively to become a high performing team

- Manage and develop onsite team of direct report Construction Managers (both Full Time Employees and Contingent Workers) and matrixed reports specializing in Safety, Quality, Project Controls (Cost & Schedule)

- Provide cost saving solutions and negotiate contractor change orders

- Manage cross functional team for Owner Furnished Equipment (OFE) procurement and delivery process

- Provide weekly project status report (financial, schedule, Quality)

- Manage Knowledge capture and transfer at the campus level

- Manage General Contractor relationship at the campus level to include General Contractor personnel development and succession

- Manage tenant improvement or retrofit work in a live data center environment

- Manage warranty work program for existing data center buildings

- 25% travel to Headquarters

- other Meta locations

- Respond on an as-needed basis to emergencies

Minimum Qualifications:

- 15+ years of experience in construction and project planning

- Experience with ground-up construction and greenfield site development

- Experience in construction management, capital budget management and knowledge of electrical and mechanical systems

- Knowledge of industry standards, building codes, and safety standards, including fire protection regulations

- Negotiation experience and experience in providing solutions to problems

- Experience with Google Documents, Google Sheets, Google Slides and other products from Google Suite

Preferred Qualifications:

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

- Bachelor's degree in Construction Management, Civil Engineering or equivalent degree

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$178,000/year to $245,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Campus Construction Manager

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies.As we continue to expand and create, we have a lot of exciting work ahead of us!

Data Engineer, Analytics (Technical Leadership) Responsibilities:

- Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision

- Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

- Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs

- Define and manage SLA for all data sets in allocated areas of ownership

- Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership

- Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains

- Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

- Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

- Influence product and cross-functional teams to identify data opportunities to drive impact

- Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- 10+ years experience in the data warehouse space

- 10+ years experience in custom ETL design, implementation and maintenance

- 10+ years experience with object-oriented programming languages

- 10+ years experience with schema design and dimensional data modeling

- 10+ years experience in authoring SQL statements

- Experience analyzing data to identify deliverables, gaps and inconsistencies

- Experience managing and communicating data warehouse plans to internal clients

Preferred Qualifications:

- BS/BA in Technical Field, Computer Science or Mathematics

- Experience working with either a MapReduce or an MPP system

- Knowledge and practical application of Python

- Experience working autonomously in global teams

- Experience influencing product decisions with data

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$210,000/year to $281,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Data Engineer, Analytics (Technical Leadership)

Release QA Lead helps to lead the team finding technical bugs, creating/distributing reports, improving and enhancing the team's performance and analyzing testing/tools improvements.

QA Engineer, Software Quality Assurance Responsibilities:

- Lead/Test and help debug pre-released software for defects

- Provide clear and detailed written end-of-day reports of bugs and report steps to the development team

- Create clear and detailed end-of-day reports for the projects tested by QA as applicable

- Perform smoke testing, regression testing, and verify claimed bug fixes as needed

- Perform testing from scripted test cases as needed for additional support

- Help review and analyze any necessary software, devices and hardware needed

- Help distribute and mitigate testing/checks among the team

- Promptly bring serious defects to the attention of the stakeholders

- Create and analyze test cases and attend meetings associated with them

- Attend and participate in stand up development and related meetings as needed

- Assign tasks to testers based on the current workload, availability and schedule

- Create new test cases based on requests from other departments, allowing testing of new features to be thorough and complete per the information provided by engineers

- Update test cases to reflect changes made, including AB test decisions/changes, new features affecting other areas of the test suite, and minor changes from other departments

- Create and maintain information on test runs for the current workload, keeping up to date on test run progress and ensuring testing is adjusted if needed based on progress

- Provide feedback during TDD reviews and ask questions that would assist in understanding the process from a QA perspective

- Coordinate additional testing requests and questions with stakeholders, ensuring information is communicated and tasks are handled within the current workload

- Communicate with stakeholders to confirm questions and information as well as provide support as needed

- Perform functionality testing as needed to provide support during test runs or when additional work comes in

- Attend high level meetings regarding upcoming features, changes and requests and share this information to other departments as requested

- Assist with setting up specific tools/accounts as needed for testing, including identifying issues, access requirements, and ways to improve tools and accounts

- Demonstrate expert end-to-end understanding and explain requirements and how well those requirements are being met

- Maintain consistent high level of productivity across many projects with a track record of successfully completing projects of large scope

- Proactively find problems or make suggestions and drive to resolution often without guidance

- Seek out ways to improve components or systems to facilitate easier development of new features

- Help make people around you more efficient by identifying issues slowing the team down and driving changes to address them

- Lead people towards a common goal regardless of whether you are in charge, effectively facilitate or participate in discussions, and ensure outcomes are clear and well-communicated

- Drive tasks across other teams, build relationships as needed, and demonstrate effective communication and understanding in cross-functional collaboration

- Learn new technologies and invest in improving your skills proactively

- Seek out feedback on how you can improve, accept it and work with your manager to improve

- Provide detailed positive and constructive feedback to the manager regarding the performance of other team members and help make the team better

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- Experience with bug tracking software

- Excellent verbal and written communication skills

- Excellent attention to detail, with an ability to multitask and meet deadlines

- Ability to work in both a team environment and independently

- A strong understanding of the software test cycle process

- Familiarity with testing in an Agile Development environment

- Aptitude to learn quickly and effectively

- Flexibility to work overtime if needed

Preferred Qualifications:

- Experience creating/updating Test Cases and/or Test Plans

- Linux knowledge

- Scripting or coding knowledge

- Experience in TestRail or equivalent

- Experience installing, setting up, using, and troubleshooting Robotics hardware

- A passion for Robotics industry

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$163,000/year to $224,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

QA Engineer, Software Quality Assurance

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently.PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide.Our PEs are embedded in teams across the spectrum, from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds.Working alongside some of the best engineers in the industry, you’ll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily - solving problems at a scale few others face.

Production Engineer (University Grad) Responsibilities:

- Own back-end services which handle fleet management, front-end services such as WhatsApp / Instagram / Facebook / Meta Ads, infrastructure components that drive Meta’s advances in AI, core services which are used by every team at Meta, the world’s largest MySQL deployments, networking systems and everything in between

- Write and review code, leverage best-in-industry AI tools to land and productionize code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world

- Architect efficient and scalable systems that drive complex applications

- Analyze and optimize code for quality, scalability, efficiency, and performance

- Establish ownership of systems with expert end-to-end understanding

- Partner alongside the best engineers in the industry working on the coolest stuff around, the code and systems you work on will be in production and used by billions of people all around the world

Minimum Qualifications:

- Experience coding in an industry-standard language (e.g. Java, Python, C++, PHP)

- Experience picking up software, frameworks and APIs

- Experience in *nix (Linux, BSDs, or another UNIX-like OS)

- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

- Experience with an RDBMS like MySQL or Postgres

- Understanding of TCP/IP networking fundamentals

- Experience working and communicating cross functionally in a team environment

- Knowledge of internet service architectures (such as load balancing, LAMP, CDN's)

- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$122,000/year to $143,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Production Engineer (University Grad)

The Global Media Team at Meta focuses on growing brand sentiment across Meta's products and services globally. We deliver results by developing media strategies and executing campaigns across internal and external channels to increase people's engagement and connection to Meta’s brands.We're looking for an accomplished AI-native media leader to develop the people, processes, and tools that increase campaign effectiveness and improve execution through campaign management. This person will lead efforts to understand and optimize the drivers of channel effectiveness, create quality and execution improvements across internal and agency teams, partner to innovate ad products available to use and influence tool and analytics roadmaps.The ideal candidate possesses deep knowledge of programmatic and data-driven brand and performance media, experience demonstrating short- and long-term media effectiveness, and a proven track record of inspiring a team while partnering closely with agency partners. They are an innovator who has embraced AI and can drive execution, collaborate with cross-functional leadership, and establish operational excellence to maximize impact in a fast-paced,dynamic environment.

Director, Campaign Effectiveness Responsibilities:

- Campaign Effectiveness:

- Lead the team responsible for assessing and improving channel and campaign effectiveness, developing frameworks to optimize performance across digital, social, programmatic, and traditional channels.

- Define KPIs and measurement frameworks to track campaign effectiveness and efficiency

- drive channel-level impact over time.

- Oversee campaign level analytics and optimization approach with brand campaigns, including structured test-and-learn programs.

- Leverage data to identify root causes of issues and develop product and process improvements.

- Establish standardized workflows, templates, and quality control frameworks across campaign planning, execution, and measurement.

- Develop resourcing approaches to increase accountability and oversight of live campaigns across internal and external platforms.

- Identify opportunities and oversee the build of automation and AI-powered tools and capabilities to increase results.

- Assess and implement AI media solutions within campaigns to improve effectiveness.

- Drive adoption of new technologies and platforms with training and change management.

- Monitor emerging technologies and industry innovations to maintain competitive advantage.

- Partnerships & Cross-Functional Collaboration:

- Present recommendations, progress, and results to senior leadership.

- Build strong relationships with Measurement, MarTech, Data Engineering, Creative, and Insights & Analytics to improve campaign results.

- Partner with external vendors and agency partners to design joint goals and roadmaps that deliver improved outcomes.

- Establish agency vendor management processes, scorecards, and performance optimization playbooks.

- Create campaign execution best practices, supporting collaboration with partners to improve campaign results.

- Team Leadership & Development:

- Lead, and develop a high-performing team with a results-driven mindset and high accountability.

- Foster an environment of innovation, continuous improvement, and operational excellence.

- Establish career development pathways and competency frameworks for campaign-related roles.

Minimum Qualifications:

- 12+ years of media experience within marketing/advertising organizations

- 7+ years of management experience, including managing people managers

- Leadership experience at a media company or agency

- Experience overseeing marketing at global scale across a portfolio of products

- Performance marketing and digital media expertise

- Expertise with MarTech and executing programmatic campaigns

- Experience designing AI agents and with AI-assisted workflows

- Demonstrated analytical skills with experience translating data into strategic decisions

- Applied knowledge of industry trends in media, tracking, analytics, and research

- Proven track record of influencing cross-functional partners

Preferred Qualifications:

- Bachelor's degree

- Experience working in-house at a consumer company

- Experience working and thriving in a self-starter, fast-paced and changing environment

- Experience leading in a complex, cross-functional organization across a portfolio of brands

- Digital-first approach to solving complex brand and product challenges

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$227,000/year to $296,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Director, Campaign Effectiveness

Meta is seeking Research Engineers to join the Preparedness team within Meta Superintelligence Labs. The Preparedness team evaluates the increasing capabilities of our AI systems, with a focus on frontier AI capabilities and risks. We ensure that evaluations are in place to mitigate these risks and responsibly handle the development of frontier AI.As a Research Engineer on Preparedness, you will work alongside world-class AI researchers to develop new evaluations grounded in real world threat models, maintain existing evaluations so they remain current and reliable, and produce written artifacts that Meta can trust during high-stakes launches. This is a highly technical role requiring the ability to solve machine learning and engineering with high reliability. The evaluations you build will directly inform risk assessments and launch decisions within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. Preparedness is a highly interdisciplinary team, tightly connecting evaluations, internal red teaming, and mitigations for our frontier models. The evaluations you produce will be read and acted upon by Meta leadership during model launches and policy reviews.

Research Engineer, Preparedness - Meta Superintelligence Labs Responsibilities:

- Build and continuously refine evaluations for multimodal and agentic frontier AI models, including in cybersecurity, chemical security, and biosecurity

- Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas

- Produce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speed

- Scope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta’s frontier models evolve

- Work across research, engineering, policy, and legal teams to align evaluation priorities with launch timelines

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- 3+ years of experience in machine learning engineering, machine learning research, or a related technical role

- Proficiency in Python and experience with ML frameworks

- Experience identifying, designing and completing medium to large technical features independently, without guidance

- Proven experience in software engineering practices including version control, testing, and code review practices

Preferred Qualifications:

- Experience implementing or developing benchmarks for agentic large language models and multimodal models (e.g., vision-language, audio, video, browser agents)

- Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, AI safety, or deep learning

- Experience working with large-scale distributed systems and data pipelines

- Experience in red-teaming AI systems, adversarial machine learning, or abuse prevention systems

- Background in biology or chemistry, particularly chemical, biological, radiological, and nuclear (CBRN) risk domains and experience designing evaluations or threat assessments related to dual-use scientific knowledge

- Background in cybersecurity, penetration testing, or security research, particularly as it relates to assessing AI-enabled cyber capabilities or designing mitigations for AI-assisted exploitation

- Track record of open-source contributions to ML evaluation tools or benchmarks

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$154,003/year to $217,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Research Engineer, Preparedness - Meta Superintelligence Labs

Meta is looking for an AI Policy Manager to join our AI Policy team. In this role, you will work closely with the team to navigate novel and complex issues related to the governance of AI. You will collaborate with cross-functional partners to help develop Meta’s AI policy positions, support strategic engagement with academic and civil society stakeholders, and develop proactive responses to new and emerging AI governance questions.

AI Policy Manager Responsibilities:

- Develop and maintain Meta’s advocacy positions on a wide range of AI policy issues, ensuring they are aligned with our product roadmap and broader policy objectives

- Collaborate with cross-functional partners to ensure a coordinated and effective approach to AI policy

- Support the team’s engagement with a global network of third-parties, including academic institutions, research centers, and civil society organizations

- Track and analyze emerging AI policy issues and trends, providing insights and recommendations to internal teams

- Prepare briefing materials and other advocacy materials for internal and external use

- Represent Meta in external forums, including academic conferences and policy workshops, as needed

Minimum Qualifications:

- Bachelor’s degree in public policy, law, political science, or a related field

- 8+ years of experience in public policy, with a focus on AI technology or other related technologies

- Proven understanding of the AI policy landscape, including key debates around safety, governance, ethics, and accountability

- Experience collaborating with cross-functional partners to advance policy goals

- Experience in supporting stakeholder engagement strategies and managing external events

- Experience in building and managing relationships with external stakeholders, such as academics, researchers, and civil society organizations

- Highly organized, with the capacity to meet high expectations and execute complicated tasks across different topics

- Proven track record of communication and presentation skills, with demonstrated experience successfully conveying complex policy issues to a wide range of audiences

Preferred Qualifications:

- Experience working at a technology company on AI policy issues

- A network of contacts in the academic and civil society communities focused on AI

- Familiarity with global AI policy and regulatory developments

- Experience in organizing and executing policy-focused events and campaigns

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$153,000/year to $224,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

AI Policy Manager

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently.PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide.Our PEs are embedded in teams across the spectrum, from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds.Working alongside some of the best engineers in the industry, you’ll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily - solving problems at a scale few others face.

Production Engineer (University Grad) Responsibilities:

- Own back-end services which handle fleet management, front-end services such as WhatsApp / Instagram / Facebook / Meta Ads, infrastructure components that drive Meta’s advances in AI, core services which are used by every team at Meta, the world’s largest MySQL deployments, networking systems and everything in between

- Write and review code, leverage best-in-industry AI tools to land and productionize code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world

- Architect efficient and scalable systems that drive complex applications

- Analyze and optimize code for quality, scalability, efficiency, and performance

- Establish ownership of systems with expert end-to-end understanding

- Partner alongside the best engineers in the industry working on the coolest stuff around, the code and systems you work on will be in production and used by billions of people all around the world

Minimum Qualifications:

- Experience coding in an industry-standard language (e.g. Java, Python, C++, PHP)

- Experience picking up software, frameworks and APIs

- Experience in *nix (Linux, BSDs, or another UNIX-like OS)

- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

- Experience with an RDBMS like MySQL or Postgres

- Understanding of TCP/IP networking fundamentals

- Experience working and communicating cross functionally in a team environment

- Knowledge of internet service architectures (such as load balancing, LAMP, CDN's)

- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$122,000/year to $143,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Product Content Engineering is a horizontal function supporting initiatives across Instagram and is seeking an experienced content engineer to join the team. We partner closely with product and technical teams to solve problems by providing content driven solutions, set standards of quality and ideate new creative consumption experiences across different mediums and platforms that entertain, inform and delight users. The ideal candidate will have previous experience with GenAI, strong editorial judgment and a keen eye for crafting thorough, nuanced and objective guidelines that establish and measure content quality. They will also have creative skills to build products like AI generated images and videos, visual expertise to assess image and video generations, and creative and strategic product thinking to put user needs at the forefront of our work building innovative products for a social media platform. If you’re innately curious about the future of generative artificial intelligence, fascinated by new developments in research and product development, take pride in identifying efficiencies in process and operations and motivated by ambiguity, we encourage you to apply.

Product Content Engineer Responsibilities:

- Deliver completion of high-quality editorial work in a fast-paced, dynamic work environment.

- Develop guidelines and build measurement frameworks that set quality standards for products and features.

- Evaluate content based on pre-determined dimensions that will result in engagement with audience.

- Generate content-focused insights that both fuel ideation and product strategy.

- Lead through influence and collaboration within Product Content Engineering team and relevant stakeholders.

- Identify processes and opportunities to influence through scale, partnering with labeling teams to evaluate content.

Minimum Qualifications:

- 6+ years of experience with various visual mediums, content strategy, journalism, production and relevant skills

- Experience working independently and autonomously

- Previous experience collaborating with product and technical teams

- Proven knowledge of industry trends and news

- Proficiency in editing skills

- Demonstrated critical thinking skills and impeccable track record of editorial judgment around nuanced topics (politics, bias, gender, religion etc.) to quality control large datasets of annotations for model training

- Experience leading and collaborating on XFN projects to build products, respond to urgent needs, preempt issues and address concerns in collaborative and timely fashion

- Experience building products related to diverse communities and niche topics

Preferred Qualifications:

- Experience with product launches in ambiguous or zero-to-one environments

- Familiarity with developing content strategy, establishing quality standards and experiences video platforms

- Experience working with product teams or programs (or other equivalent fields) from roadmapping through delivery

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$131,000/year to $190,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Product Content Engineer

We're looking for a Creative Director with GenAI expertise and a track record of developing concept-driven digital ads for performance marketing. In this role, you'll lead external agencies and cross-functional teams to deliver high-impact creative that engages Meta's small and mid-size business audiences—and drives revenue.

Creative Director, Performance Marketing Responsibilities:

- * Develops and leads creative concepts for ongoing digital marketing campaigns (on- and off- platform), ensuring alignment with business objectives and brand strategy

- * Define creative strategies and vision for AI-generated ads across SMB DRM

- * Works with AI and GenAI tools for creative ideation and production

- * Leverages historical campaign performance and trends to inform future creative decisions

- * Provides constructive guidance to external agencies and cross-functional teams to ensure high-quality creative output across on- and off-platform deliverables such as digital ads, websites, sales enablement materials

- * Leads regular creative reviews and presentations to internal stakeholders, including leadership

- * Sets the creative inputs across creative testing plans to optimize creative

- * Fosters trusting relationships with cross-functional teams and partners to ensure seamless collaboration and effective communication

- * Designs and develops visual concepts, including typography, color palette, and imagery, to support campaign messaging and branding

- * Creates design assets, such as graphics, icons, and illustrations, to enhance campaign visuals

- * Stays up-to-date with industry trends, emerging technologies, and best practices in advertising and marketing and implements relevant insights on the work

Minimum Qualifications:

- * 10+ years of experience as a Creative Director in digital advertising and direct response marketing or lead in a creative/design related occupation

- * Experience with AI and generative AI tools used for creative ideation and production

- * Skilled in developing brand creative strategy, encompassing direction, style and aesthetic guidelines

- * Portfolio that demonstrates proven experience developing the creative strategy, ideation, refinement of conceptual campaigns that drive results - and showcases a mastery of creative direction, and an elevated style and aesthetic

- * Proven track record of advanced presentation skills and experience in communicating effectively with a broad range of stakeholders, collaborators, at different levels

- * Understanding of the business-to-business marketing landscape and Meta’s advertising tools

- * Demonstrated experience collaborating effectively with external agencies and cross-functional teams

- * Proven experience successfully problem-solving and thinking strategically for advertising campaigns

- * Experience driving fast-moving projects through to completion while balancing evolving priorities and a broad range of stakeholders

- * Software Proficiencies: Figma, Advanced GenAI tools and AI node-based workflow tools, Adobe Creative Suite

Preferred Qualifications:

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

- * 12+ years of work experience as a creative in advertising, marketing, editorial or lead in a creative-related occupation

- * Bachelor's degree in Advertising Creative/Art Direction, or equivalent experience

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$149,000/year to $209,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Creative Director, Performance Marketing

Meta is seeking a Supply Chain Engineer to join the Infrastructure Supply Chain and Engineering (ISCE) team to focus on operations and planning optimization for all of Meta's infrastructure (Servers, Data Centers, Network) supply chain. This role will focus on optimizing supply chain operations and plans at various levels to balance capacity, flexibility, supply capability, and cost, from base components through manufacturing to finished goods, in an environment of continual product introduction, directly managing billions of investment annually. We will do this primarily by building software and mathematical optimization models, not manual spreadsheets.This role is very cross-functional and provides an opportunity to work with supply chain partners and a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal deployment and operation of our infrastructure from both a cost and technology perspective, with millions of servers, gigawatts of data center capacity, and cutting-edge technology including advanced AI.

Supply Chain Capacity Engineer Responsibilities:

- Own infrastructure supply chain planning and operations for Meta (as part of Meta's overall capacity plan): including servers, network, and data center equipment from components through manufacturing to finished goods

- Design improvements to software systems to optimize supply chain operations efficiency and quality, partner with software engineers to implement and contribute code yourself

- Develop and analyze business and technical data and scenarios to solve complex supply chain problems and drive decision-making

- Build mathematical models to perform simulation and optimization studies of supply/demand projections, scenario planning, and gap closure analysis while balancing constraints, product mixes, and costs

- Contribute to end-to-end supply chain processes (as part of Meta's overall capacity plan), methodologies, and data to deliver an executable and optimized supply plan

- Manage and resolve critical escalations and exceptions in all areas of the supply chain

- Work cross-functionally to define problem statements, collect data, build analytical models, and make recommendations to drive change and optimization at the most strategic levels

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- 6+ years of experience in designing and implementing models, optimization algorithms, operations research, industrial engineering, or related field

- 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP

- 3+ years of experience in supply chain management — planning, manufacturing, operations, inventory, etc

- Experience working with distributed systems at scale

- Experience in infrastructure operations and technical infrastructure knowledge

- Experience with planning or optimization or modeling or performance analysis

- Experience working with cross-functional teams

- Experience managing ambiguity

Preferred Qualifications:

- Track record of applying AI or automation tools to improve planning workflows, forecast accuracy, or supply chain visibility

- Familiarity with statistical forecasting methods or demand planning tools applied to infrastructure or hardware supply chains

- Experience with data center infrastructure supply chains, including server hardware, networking equipment, or storage systems procurement and deployment planning

- Experience using business intelligence or data visualization platforms to build supply chain reporting and capacity coverage dashboards

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$154,000/year to $217,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Supply Chain Capacity Engineer

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