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 ... (truncated, view full listing at source)