Senior ML Engineer - AI Platform & Experimentation

MCG Health; United States; Remote; USD 154,000 - 216,000; Full time

Benefits offered by this job

Medical, dental, vision, life, and dis

401K retirement plan

Paid time off; parental leave

Job summary

MCG Health seeks a Staff Machine Learning Engineer to build and evolve ML tooling and infrastructure for AI-powered clinical solutions in Seattle. You will lead experimentation, evaluation, and deployment of production-grade ML systems, translating requirements into scalable technical plans.

You will collaborate with Data Science, Clinical Prompt Eng, Software Eng, and Product teams to drive continuous improvement while mentoring peers and shaping best practices in ML engineering.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field, or equivalent practical experience.
• At least 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 is required.
• Experience with Python and modern software engineering practices.
• Demonstrated ability to independently solve complex technical problems in ambiguous spaces.
• Demonstrated experience collaborating with Data Science, Engineering, Product, or other cross-functional teams.

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 for 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 continuous improvement.
• Provide technical guidance and mentorship to engineering and cross-functional partners.

Skills

Python

ML engineering

Cross-functional collaboration

Problem solving

Independent work

Education

Bachelor’s degree or equivalent

Tools

Model benchmarking frameworks

Job description

MCG Health seeks a Staff Machine Learning Engineer to build and evolve ML tooling and infrastructure for AI-powered clinical solutions in Seattle. You will lead experimentation, evaluation, and deployment of production-grade ML systems, translating requirements into scalable technical plans.

You will collaborate with Data Science, Clinical Prompt Eng, Software Eng, and Product teams to drive continuous improvement while mentoring peers and shaping best practices in ML engineering.