Applied AI Scientist, Clinical AI Agents

Applied AI Scientist/Engineer to build, evaluate, and productionize clinical AI agents and supervised ML models within healthcare workflows. You will design and implement agentic AI systems that read complex medical records, apply clinical and coding context, call tools, produce auditable outputs, and drive improvements from real-world data and failures. You will own end-to-end responsibilities from problem framing to agent design, evaluation, deployment, trace analysis, and ongoing improvement, working at the intersection of software engineering, LLM systems, evaluation, and healthcare workflow understanding. You will develop long-horizon agent behavior across context construction, retrieval, tool use, memory, routing, verification, escalation, and human-in-the-loop review, define success criteria, build rigorous evaluation loops using production logs and benchmarks, and collaborate with research and ML engineering teams on model selection, fine-tuning, reward modeling, distillation, and internal AI infrastructure. The role emphasizes production impact, auditable outputs, and measurable improvements in clinical and operational settings, with level options from L2 to Staff and a base salary range of $140k-$300k per year.