Responsibilities
- Lead the full lifecycle of machine learning systems, from design and data strategy to modeling, evaluation, and deployment in production
- Develop and refine large language models for clinical reasoning tasks
- Optimize large language models to answer medical questions accurately
- Train and adapt large language models to generate responses grounded in evidence
- Balance competing demands of accuracy, speed, cost, and safety when deploying models in critical environments
- Create robust evaluation methods to verify model safety and clinical correctness
- Embed machine learning components into product features and applications used by patients
- Track live system performance and improve models using real-world data and user feedback
- Collaborate with engineers and medical professionals to define correctness in complex clinical processes
Benefits
- Tackle meaningful challenges that directly affect patient outcomes
- Shape the standards for trustworthy AI in clinical decision support
- Hold substantial responsibility within a compact, high-performing team
- Receive competitive pay and significant equity compensation
Compensation
$225,000 – $300,000+
Work Arrangement
On-site — San Francisco
Team
Small, high-caliber team with significant individual ownership
Other
- Base salary: $225,000 – $300,000+
- Meaningful equity in an early-stage, Series A company
- We are based in San Francisco and work together in person.
- We spend most of the week in the office and prioritize candidates who are excited to work this way.
