Lantern works with distributors to reduce inventory by 30-40%, improve fill rates by 5-10%, and free up cash for growth.

We help distributors forecast demand so you always have the right items, in the right place, at the right time.

We take a fundamentally different approach, using cutting-edge machine learning to achieve near-perfect accuracy.

Our founders studied at Stanford and spent decades at leading Silicon Valley technology companies. Our families come from distribution. This combination of deep industry roots and frontier technology is what allows us to achieve breakthrough results.

Lantern is honored to serve distributors, the true backbone of our economy and our country.

Industry: Software Development
Company Size: 2-10 employees

Lantern

Savvy Admin PROD

**Company Description**

Lantern specializes in helping distributors optimize inventory management by using advanced machine learning to improve forecasting accuracy. By partnering with distributors, Lantern achieves significant reductions in inventory, increases in fill rates, and better cash flow management to support growth. Founded by Stanford graduates and Silicon Valley technology veterans, Lantern combines cutting-edge technology with deep industry knowledge to create transformative solutions. Dedicated to supporting distributors—an essential part of the economy—Lantern is committed to delivering measurable, breakthrough results.

**Role Description**

This is a full-time, on-site Data Scientist role located in the San Francisco Bay Area. The Data Scientist will be responsible for building and refining machine learning models to improve inventory optimization and demand forecasting. The role involves analyzing large datasets, designing predictive models, and collaborating with engineering and product teams to develop scalable solutions. Additional responsibilities include evaluating algorithm performance, implementing data-driven recommendations, and staying current with advancements in machine learning and data science technologies.

**Qualifications**

- Proficiency in statistical modeling, predictive analytics, and machine learning algorithms

- Strong programming skills in Python, R, or similar languages

- Experience with data visualization tools and techniques for effective communication of insights

- Knowledge of database systems, including SQL, and working with large datasets

- Familiarity with cloud platforms and distributed computing frameworks (e.g., AWS, Spark)

- Strong problem-solving and analytical thinking abilities

- Excellent communication and teamwork skills to collaborate with cross-functional teams

- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field

- Previous experience in supply chain, logistics, or distribution industries is a plus

- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is beneficial

Data Scientist

Berkley Hunt is a specialized technology recruitment firm, focused on delivering outstanding results to ambitious firms seeking top-tier talent. Founded in 2024, our commitment is to provide unparalleled recruitment services and expertise in the tech sector.
 
Our team possesses in-depth knowledge and insight into the technology landscape, with a proven track record of delivering on challenging engineering and leadership searches, from niche headhunts to full team build-outs. We collaborate with a diverse range of businesses, from cutting-edge start-ups to established industry leaders, as a true partner in hiring elite-level tech talent capable of driving business success.
 
At Berkley Hunt, we take pride in cultivating enduring relationships with clients and candidates alike. Leveraging our extensive industry network, market expertise, and a uniquely consultative approach, we aim to create lasting value for all stakeholders.
 
Our focus areas are:
        - Data/AI
        - Product
        - Software
        - Cloud

Industry: Staffing and Recruiting
Company Size: 11-50 employees

Berkley Hunt

**Senior Machine Learning Engineer | Hybrid | San Francisco **

Berkley Hunt is partnering with a well-funded, early-stage AI company building a platform that is transforming how materials are discovered and sourced across the construction industry.

This is not a typical AI use case. The team is tackling a highly manual, fragmented space where workflows are still driven by PDFs, spreadsheets, and disconnected supplier data. They are building systems that can structure and understand this data at scale, enabling intelligent search, ranking, and recommendations across millions of products. You will be joining early, working on core machine learning systems, and helping shape how the platform evolves as it scales.

**What You’ll Do **

- Build and deploy machine learning models into production environments

- Work on search, ranking, and recommendation systems to improve relevance and accuracy

- Develop and optimise NLP and document extraction pipelines across unstructured data

- Design and implement retrieval-based systems using LLMs and embeddings

- Analyse data and continuously improve model performance in real-world settings

- Collaborate closely with product and engineering to take features from idea through to launch

- Own problems end-to-end, from experimentation to production impact

**What We’re Looking For **

- Experience building and deploying ML systems in production

- Strong experience with Python and common ML libraries

- Hands-on experience with LLMs, RAG systems, or NLP workflows

- Experience working with unstructured data and extraction pipelines

- Understanding of search, retrieval, or recommendation systems

- Ability to operate in a fast-paced, early-stage environment with high ownership

- Strong communication and problem-solving skills

**Bonus Skills **

- Experience with vector databases and embedding-based retrieval

- Experience fine-tuning LLMs for domain-specific tasks

- Experience improving search relevance or recommendation systems

- Background in data-intensive or product-focused environment

Senior Machine Learning Engineer

“Zodiac Solutions” is a “Minority Business Enterprise” headquartered in Texas, USA. 

Our clients include large and small enterprises in the entertainment, media, financial, government, and healthcare sectors. We’ve carved out a niche as one of the industry’s top IT solutions providers by doing what we do best. To serve our diversified clientele, we go out of our way to learn about their business and assist them as needed.

Zodiac Solutions works on a client-centric approach guided by the business philosophy of building lasting customer relationships in an intensely competitive global environment.”

Industry: Information Services
Company Size: 201-500 employees

Zodiac Solutions, Inc

**Experience: candidate should be in 4 to 8 years of total experience. **

** **

**NOTE: perfect match candidate for the role will be someone who has transitioned from Software engineer to AI/ML Engineer. **

About the Role

We are seeking an experienced **AI/ML Engineer ** to build, scale, and maintain the critical infrastructure that powers our AI models and autonomous agents. In this role, you will act as the bridge between our AI research/development teams and our production environments. You will not just be deploying models; you will be designing the high-performance, distributed systems required to serve Large Language Models (LLMs), orchestrate multi-agent workflows, and optimize GPU compute at scale.

If you are passionate about turning complex AI capabilities into highly reliable, scalable, and cost-efficient production systems, this is the role for you.

Key Responsibilities

**1. Machine Learning Infrastructure & Serving **

- Design, build, and manage scalable infrastructure for training, fine-tuning, and serving LLMs and multimodal models.

- Optimize inference latency, throughput, and cost using modern serving frameworks (e.g., vLLM, Triton Inference Server, Ray Serve) [2].

- Manage and orchestrate GPU/TPU clusters, ensuring high utilization and efficient resource allocation.

**2. Building and Scaling Agentic Operations (AgentOps) **

- Architect and deploy infrastructure to support autonomous AI agents and multi-agent systems.

- Integrate and maintain agent orchestration frameworks (e.g., LangGraph, CrewAI) within production environments [3].

- Build robust state management and memory systems (vector databases, graph databases) required for agentic workflows.

**3. Observability, Evaluation, and Reliability **

- Implement comprehensive observability stacks tailored for LLMs and agents (tracing, prompt logging, cost tracking) using tools like Langfuse, Arize, or Datadog [4].

- Design automated evaluation pipelines to monitor agent performance, safety, and reliability in real-time (LLMOps/AgentOps).

- Act as the first line of defense for production AI systems, diagnosing and resolving issues related to memory limits, inference queues, and cluster failures.

**4. Developer Platform & CI/CD for AI **

- Build internal developer platforms and tooling that allow AI engineers and data scientists to easily deploy models and agents to production.

- Adapt traditional CI/CD pipelines to accommodate model versioning, prompt management, and continuous evaluation.

Qualifications

**Required Skills: **

- **Systems Engineering: ** Strong background in distributed systems, backend engineering, or DevOps/SRE.

- **Programming: ** Proficiency in Python (essential for the AI ecosystem) and systems languages like Go or Rust.

- **Containerization & Orchestration: ** Deep expertise in Kubernetes (K8s), Docker, and infrastructure-as-code (Terraform, Pulumi).

- **AI/ML Tooling: ** Hands-on experience with LLM serving engines (vLLM, TGI, Triton) and distributed computing frameworks (Ray) [2].

- **Agent Frameworks: ** Familiarity with modern agentic development frameworks like LangChain, LangGraph, or CrewAI [3].

- **Cloud & Hardware: ** Experience managing high-performance compute (GPUs/TPUs) on major cloud providers (AWS, GCP, Azure)

**Preferred Skills: **

- Experience with vector databases (Pinecone, Milvus, Qdrant) and retrieval-augmented generation (RAG) pipelines.

- Understanding of model optimization techniques (quantization, LoRA, KV caching).

- Previous experience building platforms from the ground up in a high-growth environment.

AI/ML Engineer

Fapon is a global leading life sciences company dedicated to providing integrated solutions and services for diagnostics, biopharma and biotherapy. Integrating a one-stop solution on raw materials, reagents and innovative open instrument platforms, the Company has grown into a leading supplier in in-vitro diagnostics. Fapon boasts advanced innovations in therapeutics technologies and AI algorithm platforms with data insights that contribute to a better and healthier world. Supported by its strong global R&D, manufacturing, sales and service network, Fapon's products have established presence in 68 countries and regions, serving more than 2,500 business partners worldwide.

Industry: 生物技术研究
Company Size: 1,001-5,000 人

Fapon

**Company Description**

Located in the San Francisco Bay Area, El Capitan Biosciences comprises a team of passionate, versatile, and seasoned professionals. Our team's extensive research and industry backgrounds enable us to stay at the forefront of innovation.

At El Capitan Biosciences (ECB), our mission is to advance noninvasive diagnostics and monitoring by harnessing advanced machine learning algorithms and proprietary molecular methods to extract, quantify and interpret human RNA present in stool. By enabling whole transcriptome-sequencing of human transcripts shed from gut and immune cell populations, we aim to discover clinically meaningful biomarkers that reflect mucosal integrity, presence of disease, inflammatory activity and broader gastrointestinal health. Our multiplex RNA-based panels integrate signals across multiple pathways to deliver a comprehensive, actionable picture of disease biology, supporting improved diagnosis, monitoring, and overall understanding of gut health.

Company website: https://elcapitanbio.com/

Why Join Us

- Opportunity to help shape the commercial direction of a novel platform technology

- Direct impact on partnerships with leading pharma and diagnostics organizations

- Collaborative, science-driven startup environment

**Job Description**

**Position Overview**

We are seeking a highly motivated Bioinformatics Summer Intern to support the development of RNA-seq data analysis pipelines and machine learning models for biomarker discovery and clinical diagnostics. This role is ideal for candidates interested in translational genomics, AI in healthcare, and next-generation diagnostics.

Schedule: 40hrs/week, 12 weeks

Hourly rate: $35-$42.5/hr

**Key Responsibilities**

- Analyze RNA-seq datasets, including preprocessing, QC, normalization, and differential expression analysis

- Develop and optimize bioinformatics pipelines for transcriptomic data (bulk RNA-seq and/or degraded RNA samples)

- Apply machine learning and statistical methods to identify diagnostic or predictive biomarkers

- Assist in building and evaluating predictive models, including deep learning approaches

- Explore integration of large language models (LLMs) or multimodal AI approaches for biological data interpretation

- Collaborate with wet-lab scientists and cross-functional teams to interpret results and refine experimental design

- Present findings through reports, visualizations, and internal presentations

**Qualifications**

**Basic Qualifications**

- Current PhD student, recent PhD graduate, or postdoctoral researcher in Bioinformatics, Computational Biology, Biology, or a related field

- Hands-on experience with RNA-seq data analysis

- Strong programming skills in at least one language (e.g., R or Python)

- Familiarity with Linux/Unix environments and proficiency in bash scripting

- Formal training in statistics and machine learning

**Preferred Qualifications**

- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)

- Experience building or applying deep learning models

- Familiarity with large language models (LLMs) or generative AI applications in biology

- Experience with NGS pipelines and tools (e.g., STAR, Salmon, nf-core, etc.)

- Experience working in high-performance computing (HPC) or cloud environments

- Strong data visualization and communication skills

Additional Information

**What You’ll Gain**

- Hands-on experience working with cutting-edge RNA-seq datasets from clinical samples

- Exposure to real-world biomarker discovery and diagnostic development

- Mentorship from experienced scientists in bioinformatics and translational genomics

- Opportunity to contribute to impactful healthcare technologies

Bioinformatics Summer Intern

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services - now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Amazon Web Services (AWS)

**Description**

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Key job responsibilities

-  As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.

-  Integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing

-  Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.

-  Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.

-  Perform lint and clock domain crossing quality checks on the design.

-  Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.

**You Will Thrive In This Role If You**

-  Are familiar with scripting in Python

-  Are proficient with assertions

-  Have good debug skills to analyze RTL test failures

-  Have a "Learn and Be Curious" mindset

**About The Team**

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

**Basic Qualifications**

-  Bachelor's degree in Electrical Engineering or a related field

-  5+ years in RTL design for SOC

-  5+ years in VLSI engineering

-  5+ years with code quality tools including: Spyglass, LINT, or CDC

**Preferred Qualifications**

-  Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs

-  Master's degree in electrical engineering, computer engineering, or equivalent

-  5+ years of practical semiconductor design work including full-chip and subsystem integration experience

-  Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints

-  Experience with automation and scripting languages such as Python

-  Familiarity with data path design, interconnects, AXI protocol

-  Good analytical, problem solving, and communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

**Company ** - Annapurna Labs (U.S.) Inc.

Job ID: A3205794

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Ahura Workforce Solutions believes in conducting business based on mutual growth, and innovation, in an ever-changing industry and economic environment.

We have worked hand-in-hand with many of the world’s largest corporations and have delivered outstanding results. With operations in the US and in India and customers from around the world, we are truly a global organization developing models bespoke to our customer’s micro and macro environments.

We help our customers make informed, insightful, data-driven business decisions. The value we offer is the ability to establish strategies that allow premium and time-sensitive implementation of talent management solutions. As a result, many of our customers view us as a strategic long-term partner, rather than a mere vendor.

Industry: Staffing and Recruiting
Company Size: 201-500 employees

Ahura Workforce Solutions

**Job Title **- AI/ML Engineer – Clinical - Patient insights - Life Sciences

**Location: ** San Francisco, California (Hybrid – Onsite)

**Employment Type: ** Contract

**Role Overview: **

We are seeking a skilled **AI/ML Engineer ** with strong experience in the Clinical - Patient insights - Life Sciences **domain ** to join our team on a contract basis. This role focuses on leveraging advanced machine learning and AI techniques to **generate actionable patient insights ** and support data-driven decision-making in healthcare and clinical environments.

**Key Responsibilities: **

- Design, develop, and deploy **AI/ML models ** tailored to Life Sciences and healthcare data.

- Analyze large-scale **patient datasets ** to derive meaningful insights and trends.

- Build predictive and prescriptive models to improve **patient outcomes and treatment strategies **.

- Collaborate with cross-functional teams including clinical, data science, and business stakeholders.

- Develop data pipelines and workflows for **patient data processing and analysis **.

- Ensure compliance with healthcare data standards and privacy regulations.

- Present insights and findings to stakeholders in a clear and actionable format.

**Required Skills & Qualifications: **

- 3–10 years of experience in AI/ML engineering.

- Strong expertise in **machine learning, deep learning, and data analytics **.

- Experience working within the **Life Sciences / Healthcare domain ** is mandatory.

- Proven ability to generate **patient insights ** from structured and unstructured datasets.

- Proficiency in Python, R, or similar programming languages.

- Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

- Familiarity with clinical data standards (e.g., HL7, FHIR) is a plus.

- Strong problem-solving and analytical skills.

Enexus Global, is a premier onsite/offshore software solutions and services company, headquartered in the Silicon Valley with offices across the United States, India.

Some noteworthy achievements include: transforming a bank with efficient business solutions involving the Core Banking System (CBS), creating an E-commerce store for a Retail business giant with the latest security solutions, and building a database designer with a hierarchical system for communicating in a hospital or clinic. These achievements and possibilities emerged because our clients’ trust in our expertise that includes a vast array of technological development services. Our exceptional leaders and engineers work on software applications, web development, mobility solutions, and cloud-based services. Our best practices and progressive work culture has also maneuvered us into R&D of augmented reality.

We work closely with our clients to help them successfully build and execute their most critical strategies. Enexus Global has a proven track record of delivering results through its global delivery centers and flexible engagement models for over 450 brands ranging from Fortune 100 to growing companies. Enexus Global provides a variety of services including Enterprise Applications, Mobility, Big Data/BI, Staffing Services, and Cloud Solutions. Our enterprise clientele includes leading companies like eBay, PayPal, DIRECTV, Expedia, Oracle, Cisco, and many more

The talent nurtured at Enexus Global, combined with our global network make us your best ally. We provide support for a variety of organization sizes, and are committed to our clients to utilize available resources, to ensure that our services are tailored to meet all client specific requirements.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Enexus Global Inc.

**Data Engineer (PySpark, Hadoop, Scala) - Walmart - Sunnyvale, CA (hybrid). **

Need Local candidates only- Strict

**DO not send 6/7 year Data engineers., Need 2 years maximum with a Master's degree. **

Skill Set: Can perform Pyspark, Hadoop, Scala, ETL,

Day to Day: Working on Walmart signals and table. Preparing and processing raw data from users and creating tables for Walmart.

Considered the pre-machine learning.

(would like to see someone with a master's w/ 1-2 years ex)Very hungry to learn.

Bonus: Machine Learning Background.

Interview: one Coding round.

Job Responsibilities

Working on Walmart signals and table. Preparing and processing raw data from users and creating tables for Walmart.

Considered the pre-machine learning.

Junior Data Engineer(Hadoop, Scala)

At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.

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

DoorDash

**About The Team**

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business.

**About The Role**

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote ().

**You’re Excited About This Opportunity Because You Will…**

- Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space

- Partner with engineering and product leaders to help shape the product roadmap applying ML

- Mentor junior team members, and lead cross functional pods to create collective impact

You can find out more on our ML blog here

**We’re Excited About You Because You Have…**

- 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.

- M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field

- Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus.

- Machine learning background in Python; experience with PyTorch or TensorFlow preferred.

- Ability to communicate technical details to nontechnical stakeholders

- You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down

- Desire for impact with a growth-minded and collaborative mindset

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

**Compensation**

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

**See Below For Paid Time Off Details**

- For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.

- For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

**The national base pay ranges for this position within the United States, including Illinois and Colorado.**

I4

$137,100—$201,600 USD

I5

$167,800—$246,800 USD

I6

$203,500—$299,300 USD

**About DoorDash**

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

**If you need any accommodations, please inform your recruiting contact upon initial connection.**

Staff Software Engineer, Machine Learning - Personalization

Aerospike is the real-time database built for infinite scale, speed, and savings. Our customers are ready for what’s next with the lowest latency and the highest throughput data platform. Cloud and AI-forward, we empower leading organizations like Adobe, Airtel, Criteo, DBS Bank, Experian, PayPal, Snap, and Sony Interactive Entertainment. Headquartered in Mountain View, California, our offices are also located in London, Bangalore, and Tel Aviv.

Industry: Software Development
Company Size: 201-500 employees

Aerospike

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases.

At Aerospike, we dream big and deliver even bigger. Our mission is to **unleash the power of the world’s real-time data ** with a database built for **infinite scale, speed, and sustainability **.

If you're ready to shape the future of data, join us

Senior Product Marketing Manager

**Location: ** San Francisco Bay Area (hybrid) or remote (US / EMEA)

The Moment

Over the past several months, we built a new strategic foundation, redefining Aerospike’s positioning, messaging, and narrative, and establishing an operating model aligned to the company’s next phase of growth.

We are now entering the execution phase.

- Turning strategy into discipline.

- Turning messaging into organizational clarity.

- Turning launches into sustained competitive advantage.

We’re hiring a Senior Product Marketing Manager to help elevate the standard of the function. We are looking for someone who has operated in top-tier SaaS or IaaS environments.

This is a build-for-excellence role focused on refinement, operational rigor, and raising the bar across the organisation.

The Mandate

As Senior Product Marketing Manager, you’ll operate as a senior peer within an ambitious PMM team, strengthening and operationalizing the strategic direction already in motion.

Elevate the Strategy

- Pressure-test and refine positioning as the product evolves

- Ensure clarity is maintained across Product, Sales, and Marketing

- Close the gap between narrative intent and real-world execution

Build World-Class GTM Discipline

- Improve and institutionalize launch processes

- Embed PMM earlier and more structurally in the product lifecycle

- Ensure major releases land with clarity, proof, and commercial impact

- Establish measurable accountability for launch success

Strengthen Competitive Advantage

- Sharpen differentiation in high-stakes competitive environments

- Improve how our Sales team articulates why we win

- Ensure proof consistently reinforces positioning

Raise the Bar for the Function

- Bring experience from high-performing SaaS or IaaS organizations

- Build high-performance processes without introducing bureaucracy

- Lead through influence, clarity, and judgement

- Set a visible standard for excellence across the team

This role does not immediately require people management, it does require leadership, with future management opportunity for those interested.

Who This Is For

We are looking for a senior operator who has seen what exceptional PMM looks like and is motivated to help build that standard here.

You likely have:

- 10–15+ years in Product Marketing or adjacent strategic roles

- Experience in high-growth B2B contexts

- A track record of strengthening positioning, launch rigor, and cross-functional alignment

- Executive presence and the confidence to challenge constructively

- A bias toward clarity, precision, and commercial impact

**Database Experience Is Welcome But Not Required.**

What matters most is intellectual depth, structured thinking, and the hunger to understand complex products and markets.

Why This Role

This role sits at the intersection of strategy and scale.The direction is defined, but the ceiling is much higher. The product is evolving, and GTM must evolve with it.

If you are motivated by building durable excellence rather than simply shipping assets, this is an opportunity to make a visible and lasting impact.

**About Aerospike**

Aerospike was built more than 16 years ago on a distinctive architecture designed for the specialised hardware of its time. While this limited early adoption, large-scale deployments at organisations such as PayPal, The Trade Desk, Yahoo, Nokia, and EWS demonstrated the strength and relevance of the technology.

Today, infrastructure that was once costly and specialised has become standard across modern systems, making Aerospike’s differentiated capabilities broadly accessible.

Aerospike is evolving its positioning to reflect this shift, expanding how we compete and aligning our identity with the demands of modern, data-intensive and AI-driven applications.

The architectural principles that defined Aerospike from the beginning are increasingly foundational in the AI era, where scale, consistency, and performance are requirements. The opportunity now is disciplined execution.

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Senior Product Marketing Manager

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.

Join us.

Industry: Semiconductor Manufacturing
Company Size: 10,001+ employees

Intel Corporation

**Job Details**

Job Description:

Are you passionate about where cutting-edge AI meets hands-on hardware expertise? We're looking for an innovative entry-level Data Center Infrastructure DevOps Engineer to join our dynamic team and help revolutionize how we manage compute infrastructure. In this exciting role, you'll be at the forefront of merging traditional data center operations with intelligent automation, working alongside experienced engineers to transform AI-enhanced concepts into real-world infrastructure solutions. If you're ready to dive into a role where your technical skills in Python, hardware, and machine learning can directly impact the reliability, security, and scalability of enterprise-level systems, we'd love to hear from you.

This role fuses traditional compute operations with intelligent, cognitive software automation. We are seeking a highly motivated, entry level Data Center Infrastructure DevOps engineer who can help us drive compute infrastructure and server platforms reliability, security, and scalability by championing automation first practices. You'll work side by side with senior engineers, translating AI enhanced concepts into concrete, repeatable infrastructure solutions.

**Key Responsibilities**

- Perform routine maintenance, diagnose and replace failed server components, upgrade memory/CPU, and run preventive maintenance inspections on compute racks.

- Build lightweight monitoring dashboards and configure alert rules to catch performance anomalies, capacity thresholds, or security events before they impact users.

- Develop python-based automation for smart infrastructure decisions including predictive maintenance using computer vision models and continuous model improvement via feedback loops.

- Apply hardening guidelines (patch management, least privilege access), participate in audits, and maintain architectural diagrams for all automated processes.

- Excellent written and verbal communication.

**Qualifications**

**Minimum Qualifications**

- Bachelor's degree in Computer Science, Cognitive Science, or related specialized field.

- Python programming proficiency (scripts, Jupyter/Colab notebooks).

- Compute server hardware expertise (building, over-clocking, component selection) experience.

- Hands on experience with AI/ML pipelines.

**Preferred Qualifications**

- Demonstrates analytical thinking and exposure to interdisciplinary problem solving.

- Knowledge of compute server bare metal provisioning, hardware diagnostics, and performance tuning.

- Understanding of Windows, macOS, and Linux operating systems

**Job Type**

College Grad

**Shift**

Shift 1 (United States of America)

Primary Location:

US, California, Santa Clara

Additional Locations:

**Business Group**

IT is the trusted technology partner for Intel's business, relentlessly focused on the experience of our people, our end users, and our customers. We design and support Intel's IT infrastructure, driving e-Commerce and web services with a focus on robust security and identity protection.

**Posting Statement**

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

**Benefits**

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $85,950.00 - 141,950.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

**Work Model for this Role**

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Infrastructure and DevOps Engineer

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Industry: Computer Hardware Manufacturing
Company Size: 10,001+ employees

NVIDIA

At NVIDIA, we're at the forefront of innovation, driving advancements in AI and machine learning to solve some of the world’s most challenging problems. We're seeking talented and motivated engineers to join our TensorRT team in developing the industry-leading deep learning inference software for NVIDIA AI accelerators.

As a Senior Software Engineer in the TensorRT team, you will be responsible for designing and implementing inference software optimizations to power AI applications on NVIDIA GPUs. If you're ready to take on challenging projects and make a significant impact in a company that values creativity, excellence, and collaboration, we want to hear from you!

**What You’ll Be Doing**

- Design, develop and optimize NVIDIA TensorRT and TensorRT-LLM to supercharge inference applications for datacenter, workstations, and PCs.

- Develop software in C++, Python, and CUDA for seamless and efficient deployment of state-of-the-art LLMs and Generative AI models.

- Collaborate with deep learning experts and GPU architects throughout the company to influence Hardware and Software design for inference.

**What We Need To See**

- BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering or a related field.

- 4+ years of software development experience on a large codebase or project.

- Strong proficiency in C++ (required), Rust or Python programming languages.

- Experience in developing Deep Learning Frameworks, Compilers, or System Software.

- Excellent problem-solving skills and passion to learn and work effectively in a fast-paced, collaborative environment.

- Strong communication skills and the ability to articulate complex technical concepts.

**Ways To Stand Out From The Crowd**

- Experience in developing inference backends and compilers for GPUs.

- Knowledge of Machine Learning techniques and GPU programming with CUDA or OpenCL.

- Background in working with LLM inference frameworks like TensorRT-LLM, vLLM, SGLang.

- Experience working with deep learning frameworks like TensorRT, PyTorch, JAX.

- Knowledge of close-to-metal performance analysis, optimization techniques, and tools.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

, , JR2016047

Senior Software Engineer, Machine Learning Inference

Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology.

Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s.

Industry: Software Development
Company Size: 51-200 employees

Voxel

**Who Are We**

Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost US employers over $500 billion annually.

**The Role**

We're hiring our second product designer. You'll work directly with our Head of Product Design and a small product team that sits close to engineering and even closer to customers. This isn't a role where you'll get a spec and push pixels. You'll be visiting customer sites, building prototypes, and designing experiences that make complex operations feel simple.

We're looking for two things: a builder and someone obsessed with real people using the thing.

**What Success Looks Like**

- You've shipped something real in your first month that a customer has reacted to.

- You're in customer conversations regularly and bringing back insights that shape what we build.

- Engineers love working with you because you make their jobs easier, not harder.

- You're building faster than anyone thought a designer could.

**What We're Looking For**

- You're endlessly curious — about how warehouses actually run, about what AI tools can do today that they couldn't last month, about why a customer does something the way they do. You ask smart questions and you really listen to the answers.

- You've built something with AI tools — Claude Code, Cursor, Replit, v0, whatever. A real thing that solves a real problem, even a small one. Show us the product decisions you made and why.

- You can sketch an idea on a whiteboard and explain the logic. Visual craft matters, but thinking and clear communication comes first.

- You think about how a feature fits the whole product, not just the screen you're designing.

- You're comfortable with ambiguity. We're a Series B startup shaping the next phase of the product. You'll be shaping it too, not executing someone else's vision.

**What We're Not Looking For**

- Someone whose primary tool is still Figma.

- Design process devotees. We care about outcomes, not ceremonies.

**Qualifications**

- ~3–5 years of experience (flexible). We care far more about what you’ve built than how long you’ve been building.

**Why Join Us?**

Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position.

**Benefits**

- Extensive / generous health, dental, and vision insurance

- Highly competitive paid parental leave and support system

- Ownership in the business through an Equity Incentive Plan

- Generous paid time off and / or flexible work arrangements

- Daily meals in-office, vibrant company events, team-building

- 401K retirement plan, HSA options, pre-tax commuter benefits

Compensation Range: $110K - $150K

Product Designer

SK hynix memory solutions America Inc. (SKHMS America) was formed in August 2012 as a result of the acquisition of Link_A_Media Devices Corporation (LAMD) by SK hynix. 



*About SK hynix*

SK hynix will present a valuable future to stakeholders, including customers, partners, investors, communities, members, and so on through Global Tech Leadership, thereby enriching and further developing the global ICT industry. We are also sharing our expertise and experience in the semiconductor field gained from the establishment of our “We Do Tech Center” along with investments in technical cooperation for our partners, thereby striving to boost the semiconductor ecosystem.

*About SKHMS America*

The integration of the controller solution know-how of SKHMS combined with the Advanced Non-volatile memories, DRAM technologies and the manufacturing capabilities of SK hynix produces leading-edge products across multiple market segments. Full vertical integration of controller hardware, advanced flash memory systems architecture, firmware, DRAM, NAND and other forms of non-volatile memory coupled with high volume memory manufacturing capability is quite rare in the industry. This allows our customers to have a one-stop storage solution provider with the capacity, support and expertise the industry demands. The combined focus of SK hynix and SKHMS provides excellent opportunity to become a market leader in Enterprise, Client and Mobile storage.

Some notable company achievements:

-SK hynix 1st with LDPC error correction solution

-Delivered high performing competitive PCIe/SATA Controller for enterprise/client SSD with 2D/3D/4D NAND
                - SATA – SE3010/SE4011
                - PCIe – PE4010/PE6000 series/PE8000 series

-Developed highest performance eMMC Controller and delivered highest performance MPHY IP for UFS Controller for smartphones and tablets

Industry: Semiconductor Manufacturing
Company Size: 201-500 employees

SK hynix memory solutions America Inc.

**About The Company**

**At SK Hynix Memory Solution, ** we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.

We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

**About The Team**

At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards.

**Responsibilities**

- Develop and execute comprehensive test plans for PCIe and NVMe enterprise SSDs (eSSDs), monitoring test progress, identifying potential issues, and delivering detailed reports to ensure alignment with design specifications, customer requirements, and industry standards.

- Analyze test results and logs, drive root-cause analysis for failures.

- Collaborate cross-functionally with SOC, Firmware, and Hardware teams to reproduce, analyze, and resolve device and system-level issues.

- Drive coordinated debugging efforts to ensure robust integration, system reliability, and product quality through proactive communication and teamwork.

**Minimum Qualifications**

- Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, or related field.

- Proficient in programming languages such as python, C/C++, etc.

- Familiarity with software testing or automation scripting.

- Strong analytical and problem-solving skills.

**Preferred Qualifications**

- Familiarity with Linux/Windows OS, command-line tools, and storage utilities.

- Previous related project experiences.

- Excellent communication and collaboration skills.

**COMPENSATION: $35/hr - $45/hr **

Product Application Engineer Intern

Industry: Computers and Electronics Manufacturing
Company Size: 11-50 employees

Superlinear Computing

Superlinear Computing · Palo Alto, CA · Full-time

Superlinear Computing is a quantum research and infrastructure company headquartered in Palo Alto. We design, deploy, and operate on-premises superconducting QPU systems, apply machine learning to characterize quantum system behavior, and translate those findings into specialized hardware products.

We work at the frontier of quantum hardware and real-world applications, giving researchers, enterprises, and government partners access to quantum capabilities that were previously out of reach. We believe the transition to quantum computing will be defined not just by the machines themselves, but by the infrastructure built around them.

**The Role **

This is the physics role at Superlinear Computing. You will own the physical understanding of every system we operate or build, including superconducting QPUs today, and of entropy sources spanning optical and semiconductor hardware, as our roadmap develops. You work alongside our electronics engineers, setting the physical parameters and theoretical foundations for their implementations. The role is senior, independent, and self-directed. The scope grows with the company.

- Own QPU performance across all systems: calibration, characterization, benchmarking, and diagnosis

- Investigate hardware at the physics level, coherence dynamics, noise sources, gate error mechanisms

- Design and validate entropy sources across hardware modalities: optical, semiconductor, and superconducting

- Define physical figures of merit and characterization targets for ML-driven analysis of quantum output streams

- Collaborate with electronics and software engineers on calibration automation and system integration

- Surface and pursue research directions that emerge from operating real hardware across all system types

**Required **

- PhD in experimental physics or quantum engineering

- Hands-on superconducting qubit characterization: spectroscopy, Rabi, Ramsey, T₁/T₂, randomized benchmarking, two-qubit gate tune-up

- Working knowledge of microwave measurement: IQ mixing, heterodyne readout, pulse shaping

**Preferred **

- Dilution refrigerator experience at the operator level

- Rigetti hardware, pyQuil, or equivalent gate-level SDK familiarity

- Exposure to automated calibration frameworks (QuantrolOx, QUAlibrate, Q-CTRL, or similar)

- Depth in TLS physics, flux noise, readout optimization, or crosstalk characterization

**What We Offer **

- Direct access to on-premises superconducting QPU hardware at the Illinois Quantum and Microelectronics Park, the kind of access most researchers only find at national labs

- Small, rigorous team, your technical judgment shapes outcomes directly

- Competitive salary, equity, and full benefits

- Travel to IQMP as needed for system operation and characterization

This is a senior individual contributor role with real strategic weight. The Principal Physicist is the translation layer between what Superlinear Computing envisions and where the boundaries of the physical world are still being drawn.

Principal Physicist

Tenstorrent is a next-generation computing company that builds computers for AI.  

Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others.
 
Join us: www.tenstorrent.com/careers.

Industry: Computer Hardware Manufacturing
Company Size: 201-500 employees

Tenstorrent

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you.

This role is hybrid, based out of Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

**Who You Are**

- Strong in C++ and low-level systems programming, especially in performance-critical code.

- Comfortable thinking in tensors, memory layout, and compiler graphs.

- Familiar with PyTorch and curious about how frameworks map to hardware.

- A builder who enjoys solving technical puzzles and digging into the details.

**What We Need**

- Extend and optimize our ML training framework with new ops, layers, and training features.

- Debug and tune model performance on Tenstorrent chips.

- Work with compiler and kernel teams to make sure models compile and run as expected.

- Support integration of real-world models and help bring them into production.

**What You Will Learn**

- How ML frameworks and compilers connect at the system level.

- How to translate training workloads into low-level operations optimized for custom silicon.

- How large-scale model training works under the hood, from memory layout to operator fusion.

- What it takes to build infrastructure that supports fast iteration in research and production.

~~Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.~~

~~Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.~~

~~This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded. ~~

C++ Machine Learning Engineer, AI Models Training

At Joulé, we believe our world is filled with possibilities – where character, integrity, and commitment drive our purpose. For over 30 years, Joulé has been a trusted partner to industry-leading clinical, scientific, and healthcare organizations by providing innovative workforce solutions and delivering top talent. Operating at the forefront of the life sciences arena, Joulé’s relentless approach enables our clients to rapidly and effectively execute critical initiatives and major projects. Joulé is a System One division.

Industry: Staffing and Recruiting
Company Size: 51-200 employees

Joulé

**Job Title: ** Senior Scientist: Cheminformatics & Computational Chemistry

**Location: ** South San Francisco, CA (Hybrid; remote considered case-by-case)

**Hours: **M-F, 8-5

**Type: ** 7-month contract

**Compensation: **$80 - 90/hr (depending on qualifications)

OverviewThe Cheminformatics Senior Scientist will design and implement end-to-end computational workflows to support small molecule drug discovery within the TuneLab platform. This role is ideal for a highly technical scientist who can independently evaluate tools, integrate advanced modeling approaches, and deliver scalable, production-ready solutions. You will operate at the intersection of cheminformatics, physics-based simulation, and machine learning in a fast-moving, high-impact environment.

Responsibilities

- Design and implement end-to-end workflows spanning virtual screening, hit identification, hit expansion, and lead optimization.

- Develop and integrate ligand-based and structure-based modeling approaches, including QSAR, docking, and pharmacophore modeling.

- Execute ultra-large library searches using substructure, similarity, and embedding-based methods.

- Build molecular enumeration pipelines using reaction-based and fragment-based design strategies.

- Apply physics-based simulation methods such as molecular dynamics (MD) and free energy perturbation (FEP).

- Evaluate computational tools and make build-versus-buy decisions for workflow components.

- Collaborate with machine learning teams to integrate predictive and generative models into workflows.

- Partner with software engineering teams to productionize workflows and ensure scalability and performance.

- Align computational strategies with scientific and drug discovery objectives through cross-functional collaboration.

RequirementsMust Have

- PhD or MS in Cheminformatics, Computational Chemistry, Medicinal Chemistry, or a related field.

- Strong understanding of small molecule drug discovery workflows.

- Demonstrated expertise in:

Substructure and similarity search (fingerprint-, graph-, or embedding-based)Shape and pharmacophore screeningReaction-based and fragment-based enumerationDocking and structure-based designQSAR and ligand-based modelingActive learning and iterative design strategiesPhysics-based simulations (e.g., MD, FEP)

- Hands-on experience with cheminformatics and modeling tools such as RDKit, OpenEye, or similar.

- Experience with docking platforms (e.g., Glide, AutoDock, GOLD).

- Strong programming skills in Python.

- Ability to work independently and apply scientific judgment to complex problems.

Nice to Have

- Experience working with ultra-large chemical libraries (e.g., Enamine REAL, WuXi Galaxy).

- Familiarity with generative chemistry approaches (SMILES-, graph-, or diffusion-based models).

- Experience integrating machine learning models into production workflows.

- Experience with workflow orchestration tools such as Airflow or Nextflow.

BenefitsSystem One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-

Ref: #558-Scientific

Cheminformatics Senior Scientist

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.

To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:

• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).

For a full listing of our jobs, visit https://www.metacareers.com

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

Software Engineer, Machine Learning

Nuro exists to better everyday life through robotics.

Founded in 2016, Nuro is a leading AI Robotics company with fully autonomous vehicles on road today in California and Texas. The company’s core technology is the Nuro Driver™, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and automotive grade L4 sense and compute hardware. The first commercial application of the Nuro Driver™ is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.

Industry: Technology, Information and Internet
Company Size: 501-1,000 employees

Nuro

**Who We Are**

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

**About The Role**

In this role, you will be a member of the Perception & Behavior team, leveraging the cutting edge of machine learning research to solve challenging real-world robotics problems. This role is focused on bringing advancements in the field of ML and large-scale learning to the AV domain, moving towards a more end-to-end autonomous driving system.

This role requires working with and developing large models for perception and behavior, keeping up-to-date and experimenting with state-of-the-art architectures quickly and efficiently, collaborating with other teams to determine data and infrastructure support needs, and working to improve model optimization and inference speeds. You will use your applied research skills to think through the creation and deployment of these ML models on our autonomous vehicles while working alongside talented researchers in the field. If you love solving fundamental AI challenges and deploying your solutions on robots used in the real world, come join us!

**About The Work**

- Work on and advance the state-of-the-art in end-to-end ML models for AV, from processing raw sensor data (camera, LiDAR, radar) to generating behaviors.

- Experiment quickly and fail fast while leveraging massive real-world driving datasets and large-scale compute infrastructure.

- Research and apply novel solutions to some of the most challenging problems in AVs, including long-tail event handling, safe, verifiable reasoning and comfort in AV.

- Collaborate with autonomy teams to understand top autonomy challenges and design roadmaps for solving them with holistic, learned solutions.

- Work with infrastructure, data and evaluation teams to build effective and efficient data, training, evaluation, and validation pipelines.

- Develop practical, performant solutions and deploy them to the NuroDriver on-road!

**About You**

You have deep expertise and prior experience in some or many of the following areas:

- You have an M.S. or Ph.D. (preferred) in addition to 3+ years of experience focusing on one or more of the following: Computer Science, Artificial Intelligence, Robotics, or a closely related field.

- You have subject matter expertise and research experience in one or more of the following areas: Machine Learning (required), End-to-End Autonomous Driving Models, Imitation Learning, Reinforcement Learning, or World Models.

- You have strong problem-solving and programming skills in Python (required) and C++ (preferred) and utilize coding best practices as a part of your work.

- You are an independent researcher able to push multi-faceted projects forwards, collaborate across organizations, and deliver results in a timely manner.

- You have demonstrated research publications at major conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA).

- You are a strong culture fit, a great team player, and thrive in a fast-paced research and development environment.

~~At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.~~

~~At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $183,825.00 and $275,975.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. ~~

Senior ML Research Scientist, End-to-End Autonomous Driving

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Industry: Technology, Information and Internet
Company Size: 2-10 employees

Stealth Startup

About the Role

We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both **strategic and hands-on **, responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.

As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.

Key Responsibilities

- Define and own the **research vision and roadmap **, aligned with company strategy and long-term goals

- Lead and grow a team of **AI Researchers, Applied Scientists, and Research Engineers **

- Drive innovation across areas such as:

- Large Language Models (LLMs)

- Reasoning and planning systems

- Representation learning

- Robustness, safety, and evaluation

- Multimodal and agent-based systems

- Balance **long-horizon exploratory research ** with **near-term applied research ** that powers products

- Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards

- Collaborate with Product, Engineering, and Leadership to transition research into production

- Represent the company externally through publications, conferences, and industry engagement

- Establish best practices for research processes, tooling, and infrastructure

- Mentor senior researchers and develop future research leaders

Required Qualifications

- PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)

- 0-7 years of experience in AI/ML research, with at least several years in a **research role **

- Proven track record of **high-impact research contributions ** (top-tier conferences, journals, or widely adopted systems)

- Deep expertise in modern ML techniques, especially **LLMs, deep learning, and foundation models **

- Experience leading and scaling research teams in industry or advanced research labs

- Strong understanding of the tradeoffs between research innovation and production constraints

- Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders

Preferred Qualifications

- Experience leading research at a top AI lab, FAANG company, or well-known AI startup

- Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)

- Experience with model training at scale, including distributed systems and ML infrastructure

- Background in deploying research models into real-world products

- Prior experience influencing company-level technical strategy

What We Offer

- **Base salary up to $500,000 **, plus competitive equity

- Opportunity to shape the future direction of cutting-edge AI research

- Access to significant compute and research resources

- Collaboration with elite engineers, researchers, and product leaders

- A culture that values deep thinking, experimentation, and long-term impact

AI Scientist - LLMs [32826]

Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙

Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.

We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment. 

Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home

Industry: IT Services and IT Consulting
Company Size: 5,001-10,000 employees

Zoom

**What You Can Expect**

You will be responsible for designing and developing high-quality software applications. You will collaborate with cross-functional teams to understand requirements, develop software solutions and contribute to the entire software development lifecycle. You will ensure that products are delivered timely and within budget, meeting the needs of our customers.

**About The Team**

Our engineering team is a dynamic, collaborative, and inclusive group made up of eight specialized departments. Each department is dedicated to delivering seamless and innovative communication solutions—from software development and machine learning to quality assurance. Together, we design and maintain user-friendly interfaces and robust infrastructure that connect people across the globe, regardless of distance.

We value diversity in all its forms and believe that different perspectives drive innovation. Every team member plays a vital role in shaping the future of communication technology.

**Responsibilities**

- Designing and developing responsive, scalable, and secure frontend applications based on React technology stack, delivering high-quality user experiences.

- Designing and implementing efficient, modular, and reusable frontend component systems, promoting the development of unified component libraries and design systems.

- Exploring and optimizing browser underlying capabilities (Web APIs, rendering mechanisms, network communication, etc.) to solve complex technical challenges.

- Developing and enhancing real-time audio/video features (using WebRTC and related technologies) to ensure stability and low-latency performance.

- Introducing and practicing unit testing and test-driven development (such as Jest, Vitest, React Testing Library) to improve code quality and reliability.

- Participating in design reviews, code reviews, and technical solution discussions to ensure project delivery quality and technical consistency.

- Collaborating closely with backend engineers, participate in API design and optimization to enhance frontend-backend integration efficiency and data interaction experience.

- Staying curious and current with emerging frontend technologies, helping to drive continuous improvement and best practices within the team.

**What We’re Looking For**

- 5+ years of experience in full-stack or frontend software development with solid coding skills.

- Demonstrate a highly positive attitude while fostering trust, building consensus, and cultivating collaboration and relationships across various organizational levels. Demonstrate proficiency in JavaScript and TypeScript with solid programming fundamentals.

- Demonstrate expertise in React ecosystem (Hooks, state management, performance optimization, etc.) with large-scale project experience.

- Understand browser internals and principles.

- Demonstrate familiarity with WebRTC or real-time audio/video related technologies.

- Show proficiency in common frontend engineering tools (Webpack / Vite / Babel, etc.).

- Demonstrate an excellent code style and technical documentation writing skills.

- Demonstrate proficiency in AI-assisted programming with hands-on experience using AI coding tools.

**Minimum**

**Salary Range or On Target Earnings:**

$98 900,00

**Maximum**

$228 700,00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

**Anticipated Position Close Date**

04/17/26

**Ways of Working**

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

**Benefits**

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

**About Us**

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

**Our Commitment**

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Software Development Engineer

We’re Blue River, a team of innovators driven to radically change agriculture by creating intelligent machinery.  We empower our customers – farmers - to implement more sustainable solutions: optimize chemical usage, reimagining routine processes, and improving farming yields year after year. We believe that focusing on the small stuff – pixel-by-pixel and plant-by-plant - leads to big gains.  By partnering with John Deere, we are innovating computer vision, machine learning, robotics and product management to solve monumental challenges for our customers.

Our people are at the heart of what we do.  Through cross-discipline collaboration, this mission-driven and daring team is eager to define the new frontier of agricultural robotics.  We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out.  We won’t give up until we’ve made a tangible and positive impact on agriculture.

Industry: Software Development
Company Size: 201-500 employees

Blue River Technology

We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains.

Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction.

Our people are at the heart of what we do. Through cross-discipline collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on the planet!

Blue River Technology is based in Santa Clara, CA

**Summary**

The Field Mechatronics Engineer is responsible for providing on-site engineering support at Blue River Technology’s test site near Gilroy, CA. This position will have various duties as explained below. This position reports to the Sr. Manager, Facilities and Test Site Operations.

The successful Field Mechatronics Engineer is service-oriented, practical, safety-minded, communicative, organized, hands-on, timely, inquisitive, maintains the utmost personal and professional integrity, and strives to achieve our mission to create intelligent machinery that solves monumental challenges for our customers.

**Job Responsibilities **

- Assist in the development and testing of electro-mechanical designs with CAD, and integrate those onto different testing platforms.

- Advanced troubleshooting of hardware and software issues on our fleet of test vehicles.

- Assist other Software, Mechanical, Electrical, and Mechatronics Engineers through design reviews and collaborative interactions, including brainstorming and troubleshooting.

- Test prototypes to be used as a part of project-specific field tests and data collection.

- Product testing and product development support:

- Plan, build, and maintain test site resources for project- and product-specific tests.

- Assist different engineering departments by providing equipment information, photos, measurements, etc.

- Assist in planning, improving, and conducting field testing as necessary.

- In collaboration with the site manager and project engineers, coordinate test plans and data collection activity to be conducted at the Gilroy test site.

- Perform hands-on design work during the full product design life cycle, including requirements gathering, concept generation, detailed design with analysis, verification testing, and cross-functional reviews

- Work in multidisciplinary project-based teams to explore new opportunities and transfer designs and manufacturing for use in alternative applications.

**Required Experience & Skills **

- Bachelor’s degree in Engineering, or other relevant field, preferred.

- 2 years of work experience, including:

- 2 years working in a farm environment.

- 1 year in an agricultural technology and/or machinery-related role.

- 1+ year in working directly as an engineer, preferably with in-field testing experience.

- Ability to understand and interact with agricultural technology and machinery.

- Proficiency in 3D modeling software such as SolidWorks or Creo.

- Proficiency, or ability to work with the following: Python programming language, Linux-based operating systems, and CAN-bus communication.

- Capability to set targets, create plans, execute plans, and deliver results.

- Capacity to positively interact with varied personality types, creating trusted professional relationships inside and outside the Blue River technology and Deere organizations.

- Strong ability to communicate, including via email and other electronic messaging tools.

- Exhibit a high level of personal and professional integrity, including the ability to be effective without constant manager contact and oversight.

- Willing to live and work in the Central Coast region of California.

**Preferred Experience & Skills**

- Design of agricultural equipment/machinery, hydraulic, and/or pneumatic systems.

- Experience designing opto-electro-mechanical systems, including motion control, vision systems, and lasers.

- Experience developing and testing precision agricultural technologies.

- Experience with Deere's proprietary tools for machine diagnosis, reprogramming, etc.

- Experience with the Deere parts ordering system.

Only individual applicants will be considered. We do not work with third-party agencies or proxy interview services.

At Blue River, we’re passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we’re investing in our programs, including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals.

We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your past experience doesn’t align completely with the job description, we encourage you to apply anyway.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

The US annual base salary range for this position is $87,000 - $131,000, along with eligibility for Blue River’s bonus and benefit programs. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.

Field Mechatronics Engineer

Aquabyte is one of the few companies applying machine learning / computer vision to directly solve the world’s food sustainability issues. 

Fish farming is the #1 fastest growing sector of food production - a $300B worldwide industry. By improving fish farm efficiency, we help close the world’s impending protein deficit.

We work on very challenging distributed image processing and machine learning problems, and our work has direct relevance on the world’s food chain. Come join us!

Apply now: https://jobs.lever.co/aquabyte

Industry: Teknologi, informasjon og internett
Company Size: 51–200 ansatte

Aquabyte

**Our mission**

Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.

We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.

**Our product**

We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.

Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.

**The role**

Aquabyte’s AI team builds the computer vision and machine learning systems that observe millions of fish daily through our underwater camera fleet. We estimate fish weight via stereo 3D reconstruction, detect health conditions, and optimize feeding in real time. Our systems operate across on-site edge hardware, cloud pipelines and a customer-facing application.

As a Research Intern, you will collaborate closely with scientists and engineers on the AI team to work on an end-to-end research project at the intersection of computer vision and aquaculture. You will have the opportunity to work in a small, experienced team with domain expertise, and have access to data, resources and mentorship to complete an impactful R&D project that involves deciding methods, designing experiments, training models, and presenting your findings. Everything we do is connected to broader company goals so by the end of your internship we want this project to be ready to be deployed so that it can have impact across farms worldwide.

In office requirements: 2 days per week minimum

Duration: 10-12 weeks

Hours: Full-time

**What you'll do**

- Work with your mentors to complete an end-to-end R&D Project over 10-12 weeks, from literature review through experimentation and a final deliverable.

- Work on computer vision challenges in 3D reconstruction, efficient inference, visual recognition or model robustness - applied to real production data.

- Design and run experiments, iterating with increasing depth.

- Deliver a final presentation and a clean, elegant, reproducible codebase.

- Collaborate with the wider team on translating research insights into production-ready approaches.

**Minimum Qualifications**

- Enrolled in Masters or PhD program in computer science, electrical engineering, or a related field with a focus on Machine Learning or Computer Vision

- Strong coding ability; strong grasp of Python

- Have exposure to software engineering best practices (version control, testing, code reviews)

- Experience with training neural networks / deep learning (ideally pytorch)

- High degree of initiative; comfortable working autonomously on open-ended problems

- Must return to degree program after the completion of the internship, or the internship fulfills a graduation requirement

**Preferred Qualifications**

- Experience with stereo vision and 3D reconstruction

- Familiarity with vision foundation models and feature extraction/matching

- Experience with efficient inference and model optimization

- Familiar with classical and deep learning based feature extraction, feature matching, and disparity estimation

- Publication record in computer vision or machine learning

~~At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible!~~

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.

Computer Vision Research Intern

Akraya is your trusted partner for Digital Transformation. Our global teams deliver scalable Product Engineering, Data, AI and talent solutions that accelerate outcomes and build future-ready enterprises. Recognized by Glassdoor as a top workplace, we combine people-first values, deep expertise and transformative processes to drive measurable business impact.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Akraya, Inc.

**Primary Skills: ** SQL (Expert), Excel (Expert), Python (Intermediate), Machine Learning (Intermediate), Tableau (Advanced)

Contract Type:  W2 Only

Duration:  6+ Months with Possible Extension

Location: San Jose, CA ( - Hybrid)

Pay Range: $42-47/Hr. on W2

#LP

**Job Summary:**

We are seeking a Senior Business Analyst to join our Global Risk & Protections team, aiming to enhance risk management strategies and ensure a phenomenal user experience on our global commerce platform. This role entails developing insights from risk data, creating and implementing comprehensive risk policies, and collaborating with cross-functional teams to maintain and adjust risk controls effectively. Candidates will leverage advanced analytics to drive strategic decisions and optimizations across the company.

**Key Responsibilities: **

- Develop and articulate risk insights by analyzing data from various sources to improve risk controls.

- Design and implement comprehensive risk policy frameworks, addressing credit risk, fraud prevention, and other portfolio risks.

- Continuously monitor and optimize risk strategies to enhance their effectiveness.

- Collaborate with global teams to establish and implement scalable risk management policies.

- Engage with product and analytical teams to craft innovative solutions for risk challenges.

**Must-Have Skills: **

- Proficiency in SQL and Excel.

- Experience with analytics and data visualization using Tableau.

- Strong quantitative and analytical capabilities.

**Industry Experience: **

- Background in e-commerce, banking, fintech, or related industries is preferred.

**ABOUT AKRAYA**

Akraya is an award-winning IT staffing firm consistently recognized for our commitment to **excellence and a thriving work environment **. **Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!**

**Industry Leaders in Tech Staffing**

As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. **We don't just connect you with great jobs, we connect you with a workplace that inspires!**

**Join Akraya Today!**

Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Business Analyst (Risk & Analytics) : 26-01046

Quizlet is a leading consumer learning brand that builds learning tools to inspire and empower students and teachers. Our team is already supporting a user base of over 60 million active users a month. We're also among the top 20 U.S. websites and top education apps for iOS and Android - and it's only the beginning. We’re a fast-growing Series C startup, valued at $1 Billion and backed by Union Square Ventures, Costanoa Venture Capital, Icon Ventures, Owl Ventures, Altos Ventures and General Atlantic.

With our massive reach and focus on delivering high-quality innovative learning tools, we're having a major global impact on education. Read more at https://quizlet.com/mission. Come join us — we're hiring!

Industry: E-Learning Providers
Company Size: 201-500 employees

Quizlet

**About Quizlet:**

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.

We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools.

**Let’s Build the Future of Learning**

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

About the Team:

The Personalization & Recommendations team at Quizlet is building personalized learning experiences that help millions of learners study more effectively. We are looking for Machine Learning Engineers ranging from the Senior to Staff as well as Sr. Staff levels (note: leveling decisions made through the interview process).

You’ll bring strong expertise in modern recommender systems — from deep learning-based retrieval and embeddings to multi-stage ranking and evaluation — and contribute to the evolution of Quizlet’s personalization capabilities. You’ll work at the intersection of machine learning, product, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness.

We’re happy to share that this is an **onsite position **. To help foster team collaboration, we require that employees be in the office a **minimum of three days per week **: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe this work environment enhances efficiency, fosters collaboration, and supports growth for both employees and the organization.

**In this role, you will:**

- Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals, and content features

- Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization

- Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training-serving consistency, observability, and robust monitoring

- Partner with Product and Data Science to translate learner objectives such as engagement, retention, and mastery into measurable modeling goals and experiment designs

- Advance evaluation methodologies, contributing to offline metric design such as NDCG, CTR, AUC, and calibration, and supporting rigorous A/B testing to measure learner and business impact

- Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments

- Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem

- Mentor engineers, supporting technical growth, experimentation rigor, and responsible ML practices

- Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture

- Depending on level, contribute to broader technical strategy, guide architectural decisions, and influence personalization direction across teams and product surfaces

**What you bring to the table:**

- Minimum 5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems

- Demonstrated impact improving key metrics such as CTR, retention, engagement, or other learner-facing outcomes through recommender or search systems in production

- Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices, including model registries, feature stores, monitoring, and drift detection

- Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, MMoE, or similar approaches, and the ability to apply them to real-world problems

- Experience with large-scale embedding models and vector search systems, including FAISS, ScaNN, or similar technologies

- Proficiency in experiment design and evaluation, connecting offline metrics such as AUC, NDCG, and calibration with online A/B test outcomes to drive product decisions

- Clear, effective communication, with the ability to collaborate well with product managers, data scientists, engineers, and cross-functional partners

- A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability

- Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

**Additional strengths for Senior Staff candidates:**

- Experience shaping technical strategy across teams or disciplines, balancing long-term architectural vision with near-term product and business priorities

- Demonstrated leadership through influence, including aligning stakeholders, guiding teams through ambiguity, and driving accountability for outcomes

- Ability to communicate complex technical trade-offs clearly to senior leadership and cross-functional audiences

- Experience mentoring senior engineers or applied scientists and helping raise the technical bar across an organization

- Proven ability to lead large, ambiguous initiatives and influence platform, product, and modeling direction at scale

**Bonus points if you have:**

- Publications or open-source contributions in RecSys, search, or ranking

- Familiarity with reinforcement learning for recommendations or contextual bandits

- Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM-based reasoning

- Prior work in consumer or EdTech applications with personalization at scale

**Compensation, Benefits & Perks:**

- Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a base salary of $175,000 to $330,000 depending on location, level (Senior, Staff, or Senior Staff), and experience, as well as company stock options

- Collaborate with your manager and team to create a healthy work-life balance

- 20 vacation days that we expect you to take!

- Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)

- Employer-sponsored 401k plan with company match

- Access to LinkedIn Learning and other resources to support professional growth

- Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits

- 40 hours of annual paid time off to participate in volunteer programs of choice

**Why Join Quizlet?**

🌎 Massive reach: 60M+ users, 1B+ interactions per week

🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science

📈 Strong momentum: Top-tier investors, sustainable business, real traction

🎯 Mission-first: Work that makes a difference in people’s lives

🤝 Inclusive culture: Committed to equity, diversity, and belonging

**We strive to make everyone feel comfortable and welcome!**

We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.

We provide a transparent setting that gives a comprehensive view of who we are!

**In Closing:**

At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.”

Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.

As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

**To All Recruiters and Placement Agencies:**

At this time, Quizlet does not accept unsolicited agency resumes and/or profiles.

Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Machine Learning Engineer, Personalization and Recommendations

Latitude AI is a wholly owned subsidiary of Ford Motor Company that develops automated driving technologies. The company was formed in 2023 to reimagine what it’s like to drive, giving drivers time back on their journeys and transforming the driving experience to be safer, less stressful, and more enjoyable for everyone. Headquartered in Pittsburgh with engineering centers in Dearborn, Mich. and Palo Alto, Calif., Latitude employs about 550 people.

Industry: Technology, Information and Internet
Company Size: 501-1,000 employees

Latitude AI

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – **all dedicated to making a real, positive impact on the driving experience for millions of people.**

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

**Meet The Team**

The Machine Learning Platform team is the engine driving all ML initiatives at Latitude. We provide the essential services for every ML pipeline, training run, and critical workflow automation across multiple internal teams.

Our flagship product is **BlueMind **, our in-house platform for orchestrating, executing, and rigorously tracking all ML experiments. Every piece of ML training at Latitude runs on BlueMind, which seamlessly integrates with our high-performance computing cluster, dataset versioning tools, and logging/artifact frameworks.

Beyond ML training, we maintain platforms that orchestrate vital business processes, including simulation execution, metrics calculation, bench test execution, map and labeled data production, vehicle/simulation event triage.

Our platforms utilize a powerful combination of cutting-edge off-the-shelf and robust in-house web applications and libraries, all integrated with cloud resources.

We are looking for experienced candidates who thrive in a fast-paced, collaborative, and distributed environment. If you are a senior engineer who is ready to transform customer needs and innovative ideas into impactful new platform features, we want to hear from you.

**What You’ll Do**

- Drive Innovation on the BlueMind ML Platform: Contribute to the development and enhancement of the in-house BlueMind platform, a critical tool for ML experiment tracking and execution. This platform supports the construction and execution of complex ML training and inference workflows on an on-premise HPC cluster, integrating with other internal and off-the-shelf services for dataset versioning, data lineage, artifact tracking, checkpointing, logging, and metrics tracking

- Serve as a Trusted Partner to ML Teams: Regularly engage with and understand the unique needs of diverse ML teams across Latitude (including Scalable Machine Learning, Sensing, Autonomy Behavior, State Estimation, Intelligent Systems Evaluation, Bench Testing, and Virtual Test Ecosystem). You will be instrumental in capturing requirements, authoring robust design documents, implementing high-quality solutions, validating results, and providing critical support for production services

- Tackle Complex, High-Impact Challenges: Apply your experience and creativity to solve large-scale, complex technical problems in a dynamic, fast-paced environment, with a direct focus on accelerating Latitude's product launch goals and core mission

- Develop and Own Full-Stack Features: Design, implement, and enhance a wide range of full-stack capabilities, spanning web APIs/services, React applications and component libraries, custom and generated client libraries, command-line interfaces, Kubernetes resources, cloud architecture, and crucial integration solutions for our on-premise HPC cluster

- Collaborate Across Engineering Boundaries: Work closely with essential supporting teams, including internal Cloud Platform, Product, and Site Reliability teams, as well as external vendors, to ensure the smooth build, deployment, monitoring, and support of our foundational ML platforms

**What You'll Need To Succeed**

- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)

- 4+ years of full-stack software engineering experience

- Strong communication, problem solving, task prioritization, and teamwork skills

- Solid architecture and design skills

- Experience coding with Python and familiarity with popular python tools and frameworks such as poetry and fast api

- Some knowledge or pytorch, ddp, ray and overall distributed machine learning

- Some knowledge of distributed file systems

- Experience with SQL databases

- Experience with cloud infrastructure (e.g.: AWS, GCP, Terraform, Kubernetes)

- Experience with high performance computing environments

**Nice To Have**

- Experience with workflow automation frameworks (e.g. Airflow, Dagster, Camunda)

- Experience with Java and/or other JVM-based languages

- Experience with TypeScript and/or JavaScript, Node.js, and frameworks (e.g.: React, Redux, MUI)

- Experience with Bazel, Gradle, and/or other build tools

**What We Offer You**

- Competitive compensation packages

- High-quality individual and family medical, dental, and vision insurance

- Health savings account with available employer match

- Employer-matched 401(k) retirement plan with immediate vesting

- Employer-paid group term life insurance and the option to elect voluntary life insurance

- Paid parental leave

- Paid medical leave

- Unlimited vacation

- 15 paid holidays

- Daily lunches, snacks, and beverages available in all office locations

- Pre-tax spending accounts for healthcare and dependent care expenses

- Pre-tax commuter benefits

- Monthly wellness stipend

- Adoption/Surrogacy support program

- Backup child and elder care program

- Professional development reimbursement

- Employee assistance program

- Discounted programs that include legal services, identity theft protection, pet insurance, and more

- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Senior Software Engineer - ML Platform

The heart of SiFive is RISC-V! SiFive creates the building blocks of RISC-V-based IP that are the inevitable innovative reimagining of every computing platform.

Industry: Semiconductor Manufacturing
Company Size: 501-1,000 employees

SiFive

**About SiFive**

~~As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits.~~

At SiFive, we are always excited to connect with talented individuals, who are just as passionate about driving innovation and changing the world as we are.

Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people's lives; making the world a better place, one processor at a time.

Are you ready?

To learn more about SiFive’s phenomenal success and to see why we have won the GSA’s prestigious Most Respected Private Company Award (for the fourth time!), check out our website and Glassdoor pages.

**Job Description:**

The Role

As a part of platform technologies, you will design, build, deploy, and support industry leading design and verification languages and tools. You will apply language design, compiler implementation, type systems, and more to create safe, efficient, usable design and verification environments.

Responsibilities:

- Architect and implement language features and compiler internals that drive a functional language to enable development and delivery of SiFive’s RISC-V core IP product.

- Develop tools required by a language ecosystem.

- Architect and design quality code to facilitate meeting expanding requirements for business processes, efficiency and usability.

- Interface with design, verification and other teams within SiFive to define the next generation of flow automation.

**Qualifications**

- Strong C++17skills

- Familiarity with functional programming languages such as OCaml, scala, haskell, lisp, or f#

- Experience with Linux operating systems and standard development environments and toosl

- Experience defining build rules in a build system

Bonuses:

- Formal systems (either HW or SW)

- Type checking experience

- Interest in HW/CompArch

- CIRCT/MLIR/LLVM experience

- Location negotiable.

If you want to do incredible work and be challenged by exciting, truly innovative projects that will test the boundaries of your skills and creativity, then SiFive is the place for you! Be proud of your work. Do things better. Join SiFive.

In addition to base pay, this role may be eligible for variable/ incentive compensation and/ or equity. In addition, this role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, and more!

**Additional Information:**

This position requires a successful background and reference checks and satisfactory proof of your right to work in

United States of America

Any offer of employment for this position is also contingent on the Company verifying that you are a authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals.

SiFive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

As an E-Verify employer, we use this system to confirm the employment eligibility of all new hires in accordance with federal law. All applicants will be required to complete a Form I-9, Employment Eligibility Verification, upon hire. We do not use E-Verify to pre-screen job candidates and will comply with all E-Verify regulations.

Intern - Platform Technology

Physics World helps scientists working in academic and industrial research stay up to date with the latest breakthroughs in physics and interdisciplinary science. We provide an international readership with a unique mix of daily news, opinion and analysis from an award-winning team of science writers and editors.

Industry: Book and Periodical Publishing
Company Size: 11-50 employees

Physics World

**Company Description**

**Join us and make YOUR mark on the World!**

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

**Job Description**

We have an opening for a **Machine Learning (ML) Bioengineer ** to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience Incubator, a dynamic engineering center that integrates predictive computational modeling, machine learning, and experimental biology to advance national security and public health missions. This position will be in the Computational Engineering Division (CED), within the Engineering Directorate, matrixed to the Bioresilience Incubator.

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists generating large datasets via novel high-throughput assays. You will leverage in-house computational tools and contribute to the design, training, and evaluation of new machine learning-based methods.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

This position will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.

**You will**

- Collaborate with project scientists and engineers to develop, implement, and evaluate computational frameworks and models.

- Contribute to the development and application of advanced analysis methodologies; analyze data; document research through presentations and peer-reviewed publications.

- Support technical activities for new capability development and provide solutions to moderately complex to complex technical problems using established and innovative methods.

- Contribute to the completion of project milestones, influencing the development of organizational goals and objectives. Establish, implement, and maintain quality standards for project deliverables.

- Contribute to briefings and presentations documenting project activities and research results.

- Routinely interact with technical contacts at sponsor and partner organizations; represent the organization on specific technical projects.

- Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design.

- Balance multiple projects/tasks and priorities to ensure deadlines are met, working independently with minimal direction within the scope of assignments.

- Perform other duties as assigned.

**Additional Job Responsibilities, At The SES.3 Level**

- Determine, propose, and implement advanced analysis methodologies and contribute to identifying future research directions and proposals that will secure future projects in the field.

- Guide the completion of projects and influence the development of organizational goals and objectives.

- Lead the development of briefings and presentations documenting to project activities and research results.

- Represent the organization as the primary technical contact on tasks and projects, serving on internal technical/advisory committees and potentially on external committees.

- Oversee the activities of other personnel, providing informal mentoring and guidance to less-experienced team members.

- Contribute to and influence the development of innovative projects, principles, and ideas in computational protein design.

**Qualifications**

- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.

- Master’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.

- Comprehensive knowledge and experience developing and applying algorithms in one or more of the following machine learning areas: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning.

- Experience developing and implementing deep learning models and algorithms using modern software libraries such as PyTorch, TensorFlow, or similar, as evidenced by publications or software releases.

- Experience with high-performance computing, multi-node, multi-GPU, distributed training.

- Comprehensive knowledge in protein and genome language models sufficient to communicate effectively with team members and subject matter experts.

- Proficient verbal and written communication skills necessary to collaborate within a team environment and present technical information to varied audiences.

- Effective interpersonal skills and initiative necessary to interact with all levels of personnel and work independently in a collaborative, multidisciplinary team environment.

- Demonstrated ability to balance multiple projects and prioritize competing demands while maintaining high-quality standards for deliverables.

**Additional Qualifications At The SES.3 Level**

- Advanced knowledge and experience in developing and applying algorithms in machine learning areas.

- Significant experience developing and implementing medium to large-scale deep learning models and algorithms using modern software libraries.

- Demonstrated ability to provide guidance and informal mentoring to other personnel and junior team members.

- Advanced verbal and written communication skills necessary to effectively collaborate in a multidisciplinary team and present technical information to a variety of audiences.

- Demonstrated ability to represent the organization as a primary technical contact and to contribute to the development of innovative projects, principles, and ideas.

**Qualifications We Desire**

- PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.

- Strong understanding of protein and genome language models and datasets.

- Experience publishing research results in peer-reviewed scientific journals and presenting at conferences and workshops.

- Experience with GPU programming and running complex workflows.

**Pay Range**

$146,340 - $222,564 Annually

$146,340 - $185,544 Annually for the SES.2 level

$175,530 - $222,564 Annually for the SES.3 level

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

**Additional Information**

**Position Information**

This is a Career Indefinite position, open to Lab employees and external candidates.

**Why Lawrence Livermore National Laboratory?**

- Included in 2026 Best Places to Work by Glassdoor!

- Flexible Benefits Package

- 401(k)

- Relocation Assistance

- Education Reimbursement Program

- Flexible schedules (*depending on project needs)

- Our values - visit https://www.llnl.gov/inclusion/our-values

**Security Clearance**

This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

**Pre-Employment Drug Test**

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

**Wireless and Medical Devices**

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

**How To Identify Fake Job Advertisements**

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

**Equal Employment Opportunity**

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

**Reasonable Accommodation**

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

**California Privacy Notice**

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Machine Learning (ML) Bioengineer

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