Time since we first saw it
Day 112
Up longer than most. Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Senior Software Engineer (Health AI and Machine Learning)
Palo Alto (HQ)
Open 3 months, first seen by us 112 days ago- Pay
$165,000–200,000/year · BaseAnnual period assumed — pay source
San Francisco Bay Area Base Pay Range $165,000-$200,000
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Employer’s visa record
- 17 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingBuild agentic AI systems that generate personalized health and ancestry insights
Design and implement RAG pipelines grounded in customer genetic data
Build evaluation frameworks to measure model quality and catch regressions
Build and rely on CI/CD and automated testing for continuous delivery
Debug production incidents and own what you ship
From the employer’s posting
Build agentic AI systems that generate personalized health and ancestry insights for customers
Design and implement RAG pipelines that retrieve relevant context from vector stores
Build robust evaluation frameworks to measure model quality, catch regressions
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
What you’ll bring
All qualificationsCore experience
- B.S. in Computer Science or equivalent
- Hands-on experience with agentic AI and LLM pipelines in production
- Experience with RAG architectures and vector stores
- Proficiency with Python and scientific libraries such as pandas and pytorch
Qualification wording
B.S. in Computer Science or equivalent
Hands-on experience building agentic AI systems and LLM-powered pipelines in production
Experience with RAG architectures and vector stores
Proficiency with Python and related scientific libraries (pandas, pytorch)
About 23andme
At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees.
In the employer’s words · Read in context
Posting record
Report an errorOpen 3 monthsWe first saw this posting 112 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 24, 2026112 days ago
- Recorded sightings
- 42
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
23andme is hiring
1 open job
- No new data jobs since July
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Docker
- Terraform
- pandas
- PyTorch
Where the posting names them
- 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
- 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
Your next step
Complete your application on 23andme.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
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.
Who We Are
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.
What You'll Do
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
What You’ll Bring
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
What We Offer
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.
About Us
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 www.23andme.com/research.
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 or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at accommodations-ext@23andme.com. 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.
Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you.
Pay Transparency
23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the San Francisco Bay Area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
San Francisco Bay Area Base Pay Range
$165,000-$200,000
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
San Francisco Bay Area Base Pay Range $165,000-$200,000
- Location & working pattern
Palo Alto (HQ)
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. Who We Are
- Work authorization
This passage needs a closer read in the full description.