Staff Machine Learning Engineer

This is a fully remote position, open to applicants in Washington.

📋 Description

• Design, develop, and enhance ML engineering tools for MCG’s AI-driven clinical solutions, which include automated prompt tuning, content feedback mechanisms, and model benchmarking.

• Create scalable experimentation and evaluation frameworks for quick, reproducible comparisons and optimizations of models, prompts, and AI methodologies.

• Collaborate with Data Science, Clinical Prompt Engineering, Software Engineering, and Product teams to convert model enhancement opportunities into dependable technical solutions.

• Transform unclear ML and clinical AI requirements into technical strategies, methodologies, interfaces, and execution plans.

• Explore intricate ML engineering challenges and devise practical solutions when conventional methods or frameworks fall short.

• Establish reusable engineering patterns, standards, and best practices that enhance ML experimentation and ongoing improvement.

• Offer technical mentorship and guidance to engineering teams and cross-functional partners without direct people-management duties.

• Function as a technical authority that shapes how MCG assesses, enhances, and operationalizes AI-enabled clinical solutions.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical area, or equivalent practical experience.

• A minimum of 6 years of relevant professional experience in machine learning engineering, software engineering, data science engineering, or a closely related technical field.

• Proven experience in designing and implementing production-quality machine learning systems, tools, or infrastructure is essential.

• Proficient in Python and contemporary software engineering practices.

• Proven ability to independently address complex technical issues and identify effective solutions within uncertain problem domains.

• Demonstrated experience working collaboratively with Data Science, Engineering, Product, or other cross-functional technical teams.

• Preferred: Experience in developing automated prompt optimization or evaluation systems.

• Preferred: Familiarity with constructing model benchmarking frameworks or evaluation infrastructure for large language models.

• Preferred: Experience in developing feedback loops that integrate human or expert evaluations into ML systems.

• Preferred: Knowledge of model observability, experimentation platforms, or ML operations.

• Preferred: Experience in creating reusable ML engineering frameworks or standards that are utilized across multiple teams.

• Preferred: Strong technical communication and collaboration abilities, with the capacity to influence decisions through expertise rather than positional authority.

• Preferred: Proven ability to thrive in ambiguous, fast-paced environments while balancing technical rigor with timely 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