Staff ML Engineer - AI Tooling & Experimentation Leader

MCG Health; Seattle (WA); On-site; USD 154,000 - 216,000; Full time

Benefits offered by this job

Medical insurance

401K retirement plan

Paid time off

Job summary

MCG Health seeks a Staff Machine Learning Engineer to advance our AI-powered clinical solutions. You will design tooling for prompt tuning, feedback loops, and model benchmarking while building scalable experimentation infrastructure.

You will collaborate with Data Science, Clinical Prompt Engineering, and Product to deliver robust, production-grade ML systems. You will translate complex ML requirements into concrete technical plans, establish reusable engineering standards, and mentor peers

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
• 6+ years of relevant professional experience in machine learning engineering, software engineering, data science engineering, or related technical discipline.
• Experience designing and implementing production-quality ML systems, tooling, or infrastructure.
• Experience with Python and modern software engineering practices.

Responsibilities

• Design, build, and evolve ML engineering tooling that accelerates continuous improvement of MCG’s AI-powered clinical solutions, including automated prompt tuning, content feedback loops, and model benchmarking.
• Develop scalable experimentation and evaluation infrastructure enabling rapid, reproducible comparison and optimization of models, prompts, and AI approaches.
• Partner with Data Science, Clinical Prompt Engineering, Software Engineering, and Product teams to translate model improvement opportunities into reliable technical solutions.
• Translate ambiguous ML and clinical AI requirements into technical approaches, defining methodologies, interfaces, and implementation plans.
• Investigate complex ML engineering problems and develop practical solutions when established approaches are insufficient.
• Establish reusable engineering patterns, standards, and best practices that improve quality, efficiency, and scalability of ML experimentation and improvement.
• Provide technical guidance and mentorship to engineering and cross-functional partners, influencing outcomes without direct people-management responsibility.

Skills

Python

ML engineering

ML systems design

Cross-functional collaboration

Problem solving

Education

Bachelor’s degree or equivalent in CS/Engineering/Data Science

Tools

Prompt tuning tooling

Model benchmarking frameworks

ML observability

Job description

MCG Health seeks a Staff Machine Learning Engineer to advance our AI-powered clinical solutions. You will design tooling for prompt tuning, feedback loops, and model benchmarking while building scalable experimentation infrastructure.

You will collaborate with Data Science, Clinical Prompt Engineering, and Product to deliver robust, production-grade ML systems. You will translate complex ML requirements into concrete technical plans, establish reusable engineering standards, and mentor peers