AI Engineering Intern, BillionToOne
2-3 days a week in office (Menlo Park, CA)
Precision diagnostics for disease detection
Be an early applicant
Precision diagnostics for disease detection
501-1000 employees
Be an early applicant
2-3 days a week in office (Menlo Park, CA)
501-1000 employees
Company mission
To make molecular diagnostics more accurate, efficient, and accessible.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
BillionToOne is a precision diagnostics company. Its proprietary molecular counting platform (Quantitative Counting Templates) accurately counts DNA molecules at the single-count level, which has the ability to significantly improve disease detection. While initially focused on prenatal screening and oncological liquid biopsies, the company’s QTC technology is highly scalable and has the ability to make vast improvements to a range of disease detection verticals.
The company’s funding efforts - most notably a 2025 IPO - will enable it to focus on further development and commercialisation of its noninvasive prenatal screening test and oncology products. However, it will need to maintain a strategic outlook, prioritising areas with higher testing frequencies to maximise patient benefit and balance test development costs.
BillionToOne has an important role to play in improving healthcare equity. As more promising peer-reviewed research studies are conducted and providers have increased confidence in the company’s tests, BillionToOne has significant growth potential.
Freddie
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2026
$30m
SERIES C
Dec 2022
$5m
SERIES B
Total funding: $73.3m
Company benefits
- Suite of benefit plans
- Paid Medical, Pregnancy, Parental and Family Leaves
- Retirement savings program with Company contribution
- Generous equity package
- Free daily on-site lunches provided from top eateries
- Latest and greatest hardware (laptop, lab equipment, facilities)
- Free on-site EV charging (compatible with all EVs, including Tesla!)
- Working with a team of ‘rockstars’ who bring out the best in everyone
- The ability to indirectly or directly change the lives of hundreds of thousand patients
- Open, transparent culture that includes weekly Town Hall meetings
Company HQ
Menlo Park, CA
Leadership
Oguzhan Atay, PhD
(Co-Founder & CEO)Former Graduate Fellow at Stanford University (Department of Biology). They also spent time as a Researcher at the University of Oxford.
David Tsao
(Co-Founder & CTO)Former Technical Staff Member at Groupon and Software Engineer at Adku. They also worked as an Engineering Intern at Northrop Grumman Aerospace Systems.
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