Staff Machine Learning Engineer
Core
Building and evolving machine learning engineering capabilities, tooling, and infrastructure to enable continuous improvement of AI-powered clinical solutions.
Role type
Staff Machine Learning Engineer (Infrastructure & Tooling)
Builds
Automated prompt tuning, content feedback loops, model benchmarking, and scalable experimentation/evaluation infrastructure for clinical AI.
Domain
Healthcare / Clinical AI / Machine Learning Engineering
Deliverable
production ML models
Required skills
Python, production ML system design, ML infrastructure, prompt engineering, model benchmarking, cross-functional collaboration, technical mentorship, solving ambiguous problems
Preferred skills
automated prompt optimization, LLM evaluation frameworks, human-in-the-loop feedback systems, model observability, reusable ML engineering frameworks
Technologies
Python, LLMs, ML Ops tools
Responsibilities
Design and build ML engineering tooling for prompt tuning and model benchmarking; Develop scalable experimentation infrastructure; Partner with Data Science, Clinical, and Product teams to translate requirements into technical solutions; Investigate complex ML problems and establish engineering patterns; Provide technical guidance and mentorship to cross-functional partners.
Seniority
Staff, hands-on IC with significant independence and technical authority
