Staff Machine Learning Engineer

Job not on LinkedIn

🔥 1 minute ago

☕ Washington – Remote

☕ Washington – Remote

💵 $154k - $216k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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MCG Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

MCG Health is a company that provides evidence-based clinical decision support and care management solutions for healthcare organizations. They offer software and services that help payers, providers, and patients make informed and effective care decisions. MCG Health works with government healthcare agencies, provider networks, and healthcare software vendors to integrate their guidelines into clinical workflows and utilization management. Their solutions are designed to help improve patient outcomes and streamline care coordination across various healthcare settings.

📋 Description

• Design, build, and evolve ML engineering tooling for 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, methodologies, interfaces, and implementation plans • Investigate complex ML engineering problems and develop practical solutions when established approaches or frameworks are insufficient • Establish reusable engineering patterns, standards, and best practices that improve ML experimentation and continuous improvement • Provide technical guidance and mentorship to engineering and cross-functional partners without direct people-management responsibility • Operate as a technical authority influencing how MCG evaluates, improves, and operationalizes AI-enabled clinical solutions

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a 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 a closely related technical discipline • Experience designing and implementing production-quality machine learning systems, tooling, or infrastructure is required • Experience with Python and modern software engineering practices • Demonstrated ability to independently solve complex technical problems and determine effective approaches within an ambiguous problem space • Demonstrated experience collaborating with Data Science, Engineering, Product, or other cross-functional technical teams • Preferred: Experience developing automated prompt optimization or prompt evaluation systems • Preferred: Experience building model benchmarking frameworks or evaluation infrastructure for large language models • Preferred: Experience developing feedback loops that incorporate human or expert evaluation into ML systems • Preferred: Experience with model observability, experimentation platforms, or ML operations • Preferred: Experience developing reusable ML engineering frameworks or standards adopted across multiple team • Preferred: Strong technical communication and collaboration skills, with the ability to influence decisions through expertise rather than positional authority • Preferred: Demonstrated ability to operate effectively in ambiguous, fast-moving environments while balancing technical rigor with delivery

🏖️ Benefits

• Bonus Eligible • Remote Work/Hybrid Work • Travel expected 1–3 times per year for company-sponsored events • Medical, dental, vision, life, and disability insurance • 401K retirement plan • Flexible spending and health savings account • 15 days of paid time off + additional front-loaded personal days • 14 company-recognized holidays • Paid volunteer days • Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave • LGBTQ+ Health Services • Pet insurance • Accommodations for individuals requiring support

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