AI Engineering Intern
Ready to redefine what's possible in molecular diagnostics?
Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.
With over 700 employees, half a million patients helped, and one of the most successful IPOs in medical diagnostics history behind us, we're just getting started. Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.
If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.
As BillionToOne scales rapidly, we are building a world-class Commercial Data & Applied AI team. We are seeking a motivated AI Engineering Intern to support the design and implementation of AI and automation solutions that optimize operations across our commercial, billing, and customer experience teams.
This is an internship for those excited about applying LLMs, AI, ML, and automation to real-world business challenges in healthcare. You will have the opportunity to learn from experienced engineers on a new team while making meaningful contributions to high-impact projects. You will work cross-functionally with stakeholders in Sales, Marketing, Revenue Operations, Billing, Customer Experience, and IT to support AI-driven solutions that improve scalability and efficiency.
We are builders at heart. We value a strong sense of ownership, intellectual curiosity, and a bias toward action.
This is a hybrid role requiring 2–3 days per week on-site in Menlo Park with the team.
Responsibilities:
- Contribute to the development of LLM-powered applications (retrieval systems, AI agents, workflow automation, vector storage) that integrate with internal systems and data sources
- Work with business stakeholders and senior engineers to identify automation opportunities and help define requirements
- Assist in building lightweight data pipelines and analytics to support AI applications and measure their impact
- Contribute to projects across the development lifecycle from prototyping and iteration through testing and deployment
Qualifications:
- Currently pursuing (or recently completed) a Bachelor's, Master's degree or PhD
- Familiarity with Python and basic comfort with SQL
- Exposure to LLM APIs (OpenAI, Anthropic, etc.) through coursework, personal projects, or hackathons
- Strong communication skills and eagerness to learn how business problems translate into technical solutions
- Self-directed and comfortable asking questions in a fast-paced, ambiguous environment
Nice-to-Haves:
- Personal projects, hackathon experience, or coursework involving LLMs or ML
- Exposure to retrieval architectures, vector databases, or embedding models
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Experience with ML frameworks (scikit-learn, PyTorch, TensorFlow)
- Interest in healthcare, biotech, or regulated industries
Benefits And Perks:
- Working with a team of ‘rockstars’ who bring out the best in everyone
- Open, transparent culture that includes weekly Town Hall meetings
- The ability to indirectly or directly change the lives of hundreds of thousand patients
- Free daily on-site lunches provided from top eateries
- Latest and greatest hardware (laptop, lab equipment, facilities)
- A variety of perks on campus (state of the art gym, restaurant)
- Free on-site EV charging (compatible with all EVs, including Tesla)
At BillionToOne, we are proud to offer a combination of (1) competitive base pay, and (2) the opportunity for professional growth.
For this position, the base pay rate is $25 per hour.
BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For more information about how we protect your information, we encourage you to review our Privacy Policy.
BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA,a breakthrough that has already transformed the lives of over half a million patients worldwide.
Our Impact
Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.
Our Growth
From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding,including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.
Our Recognition
Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.
Our Future
Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.
Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com
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