Senior 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
• 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

Benefits

• Comprehensive health, vision, and dental plans
• Family planning, support, and leave for parents
• Mental healthcare
• Student loan assistance
• Dog friendly office
• Flexible time off

• 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)
• B.S. in Computer Science or equivalent; 4+ years of industry experience
• Experience with RAG architectures and vector stores
• A team player attitude with comfortability operating cross-functionally across the organization
• Infrastructure as code experience, ideally in Terraform on AWS, containerized in Docker
• Hands-on experience working with CI/CD deployment pipelines and testing frameworks
• Hands-on experience building agentic AI systems and LLM-powered pipelines in production