data
Posted Apr 13Machine Learning Engineer
at Latenthealth
San Francisco, United StatesOn-site
Responsibilities
- WHAT YOU’LL DO - Own end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure - Train and fine-tune large language models (LLMs) for: - Clinical reasoning - Medical question answering - Evidence-grounded generation - Make and own tradeoffs across accuracy, latency, cost, and safety in high-stakes production environments - Develop evaluation frameworks to ensure model safety and clinical validity - Integrate ML systems into product workflows and patient-facing
Requirements
- MACHINE LEARNING ENGINEER ABOUT LATENT HEALTH Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family.
- ML AT LATENT HEALTH The Machine Learning team is responsible for building systems that run in real clinical workflows.
- THE ROLE As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows.
- Experience driving ambiguous ML problems from 0→1, including problem formulation, model design, and productionization - Hands-on
- experience with PyTorch or similar frameworks - Ability to operate independently in high-ambiguity environments with minimal guidance - Strong product and engineering judgment — you know when to use ML, when not to, and how to scope problems accordingly - Comfort working in a fast-moving, early-stage environment -
- Experience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure) NICE TO HAVE -
- Experience deploying LLMs in production environments -
Benefits
- Experience working with clinical, biomedical, or other regulated datasets WHY JOIN LATENT HEALTH - Work on high-stakes problems with real impact on patient care - Build systems that define how AI is trusted in clinical decision-making - Significant ownership in a small, high-caliber team - Competitive compensation and meaningful equity LOCATION We are based in San Francisco and work together in person.
- COMPENSATION - Base salary: $225,000 – $300,000+ - Meaningful equity in an early-stage, Series A company CLOSING If you’re interested in building systems that bring truly personalized healthcare to millions of patients, we’d love to talk.