- Lead the technical execution of complex AI initiatives and own solution design and delivery within a product or technical domain.
- Design, build, train, evaluate, and improve machine learning and LLM-based systems for patient- and provider-facing products.
- Scope problems with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship systems to production with monitoring and guardrails.
- Develop offline benchmarks, human-in-the-loop review, and online experiments to evaluate model safety, accuracy, and improvement.
- Build and improve data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers.
- Translate medical and operational requirements into ML problems with clinicians, product, and engineering partners.
- Set technical direction, mentor engineers, and support engineering and scientific rigor.
- Stay current with AI research and the evolving AI ecosystem and identify useful developments for the team and its patients.
PythonMachine LearningLLM+1 more