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, modern software engineering practices, designing production-quality ML systems, independent problem solving, cross-functional collaboration
Preferred skills
automated prompt optimization, model benchmarking frameworks, human-in-the-loop feedback loops, model observability, reusable ML engineering frameworks
Technologies
Python
Responsibilities
Design and evolve ML engineering tooling for automated prompt tuning and model benchmarking; Develop scalable experimentation and evaluation infrastructure; Partner with Data Science, Clinical, and Product teams to translate model improvement opportunities; Translate ambiguous ML requirements into technical approaches; Investigate complex ML engineering problems and develop practical solutions; Establish reusable engineering patterns and standards; Provide technical guidance and mentorship to engineering partners.
Seniority
Staff, hands-on IC with significant independence and technical authority
