Sr. Software Engineer (Health AI and Machine Learning

23andMe is looking for a Senior Software Engineer to help build the AI systems that turn one of the world's largest genetic datasets into personalized health insights. You'll design and operate agentic AI pipelines that retrieve relevant genetic context, orchestrate LLMs, and deliver results that customers use to make real health decisions. The quality bar is high — and that's exactly the point.

Our Engineering team is based in the San Francisco Bay Area, CA, and this position will follow our hybrid work model.

We are a group of individuals passionate about genetic discovery.

23andMe Research Institute is a nonprofit medical research organization that enables people everywhere to access their genetic information, learn about themselves, and participate in the world's largest crowdsourced research initiative. The Institute aims to be the world's most significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA — the code of life.

• Build agentic AI systems that generate personalized health and ancestry insights for customers, orchestrating LLMs with relevant genetic and clinical context
• Design and implement RAG pipelines that retrieve relevant context from vector stores to ground model outputs in a customer's specific genetic data
• Build robust evaluation frameworks to measure model quality, catch regressions, and ensure AI-generated results meet the bar for a health product
• Build and rely on CI/CD methods and automatic testing to ensure reliable code, continuously delivered
• Debug production incidents and get services back online – you'll own what you ship
• Integrate AI into daily workflows to automate tasks and improve efficiency

• B.S. in Computer Science or equivalent; 4+ years of industry experience
• Hands-on experience building agentic AI systems and LLM-powered pipelines in production
• Experience with RAG architectures and vector stores
• Strong instincts around LLM evaluation: you understand why "it looks good" isn't enough for a health product
• Proficiency with Python and related scientific libraries (pandas, pytorch)
• Infrastructure as code experience, ideally in Terraform on AWS, containerized in Docker
• Hands-on experience working with CI/CD deployment pipelines and testing frameworks
• A team player attitude with comfortability operating cross-functionally across the organization

A small, high-trust team with real ownership, autonomy, and direct impact on one of the most scientifically rich datasets in the world. You'll work at the intersection of software engineering and cutting-edge genetic research without needing to be a scientist yourself. Our R&D and bioinformatics teams own the science; your job is to make it production-ready and scalable, supported by some of the sharpest minds in genomics who are excited to bring you up to speed.

We're an AI-friendly team that actively uses tools like Claude Code to help engineers do their best work. You'll ship multiple times per week and build systems that matter to millions of people.

23andMe, headquartered in California, is a leading consumer genetics and research company. The company’s mission is to help people access, understand, and benefit from the human genome.

23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate.

23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46). More information is available at

At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical…