AI Engineering Intern

Summary: BillionToOne is a next-generation molecular diagnostics company focused on making powerful diagnostic tests accessible to everyone. They are seeking an AI Engineering Intern to support the design and implementation of AI and automation solutions that optimize operations across various teams, providing an opportunity to learn and contribute to impactful projects in healthcare. 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 Required 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 Preferred Qualifications: - 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 Required Skills: Python, SQL, LLM APIs, Data pipelines, Retrieval architectures, Vector databases, Embedding models, Cloud platforms, Machine learning frameworks, Self-direction, Eagerness to learn Benefits: 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)