Senior Software Engineer, 23andMe

Health AI and Machine Learning

$165-200k

Salary applicable to San Francisco Bay Area - may vary in other locations.

AWS

Docker

Python

Terraform

Pandas

PyTorch

Mid and Senior level

San Francisco Bay Area

Remote from US

More information about location

DNA genetic testing for health, ancestry and more

Open for applications

DNA genetic testing for health, ancestry and more

501-1000 employees

HealthcareB2CPersonal healthBiology

Open for applications

$165-200k

Salary applicable to San Francisco Bay Area - may vary in other locations.

AWS

Docker

Python

Terraform

Pandas

PyTorch

Mid and Senior level

San Francisco Bay Area

Remote from US

More information about location

501-1000 employees

HealthcareB2CPersonal healthBiology

Company mission

To help people access, understand, and benefit from the human genome.

Job

Company

Role

Who you are

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 the job involves

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
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

Our take

23andMe offers its customers a vision into their ancestry and health through genetic testing carried out via kits sent through the mail. Results can show users their risk of more than 100 health conditions thanks to a tube of saliva at one end and a lot of technology at the other.

This access to genetic insight has helped the company sell more than 15 million test kits in the last 15 years. This remains the core component of the business. Access to millions of customers DNA however has given the company a vast collection of genetic material, allowing 23andMe to expanded into the drug development space where it is collaborating with pharmaceutical giant GlaxoSmithKline.

23andMe is not without competition, with other big names including Ancestry and MyHeritage. The company has faced challenges, from weak demand for kits and a failed subscription model to a data breach and bankruptcy. Still, its acquisition by Regeneron in 2025 gives it a fresh star and 23andMe will go on operating, contributing to medical research, while protecting user privacy.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

10% employee growth in 12 months

Glassdoor (3.4)

Trustpilot (3.6)

Company

Funding (last 2 of 10 rounds)

Dec 2020

$82.5m

SERIES F

Jul 2018

$300m

GROWTH EQUITY VC

Total funding: $802.9m

Company benefits

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

Company HQ

Old Palo Alto, Palo Alto, CA

Leadership

Anne Wojcicki

(Founder & CEO)

Anne studied Biology at Yale before working as a Healthcare Analyst for Investor AB, Ardsley Partners, Andor Capital, and Passport Capital for a combined 7 years. They leveraged this clinical experience to found 23andMe in 2006 and have served as the company's CEO since.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 10 more jobs at 23andMe