Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care.
We are looking for a motivated, responsible, and self-directed Machine Learning Platform Engineer to maintain and enhance our cloud-scale ML platform. In this critical role, you will lead the integration of ML models with clinical workflows—particularly within Epic EHR systems—and implement best practices in ML Ops to ensure reliability, scalability, and reproducibility.
While experience with ML Ops / DevOps practices is beneficial, direct machine learning experience is not required. We prioritize enthusiasm, ownership, and eagerness to learn.
Principal Duties And Responsibilities
Qualifications
Education
Bachelor's Degree Computer Science required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree? Yes
Work Details
Hybrid, 40 hours a week, Day shift (United States of America), Regular employee
Pay Range : $73,798.40 - $107,400.80 / Annual
EEO Statement
The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and / or other status protected under law.
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Machine Learning Engineer • Boston, MA, United States