Senior Machine Learning Engineer – Clinical Foundations
athenahealth
Boston, Massachusetts, U.S.
Full-time
Posted Dec 15, 2025
Full-time
Compensation
Loading salary analysis...
About the role
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. We are looking for a Machine Learning Engineer to join the Clinical Foundations data science zone.
Responsibilities
- Identify opportunities for different machine learning techniques and evaluate which are best
- Assist in developing and deploying ML-based production services to our clients
- Understand and follow conventions and best practices for modeling, coding, architecture, and statistics
- Apply rigorous testing of statistics, models, and code
- Contribute to the development of internal tools and AI team standards
- Advocate for responsible AI—focusing on fairness, transparency, and data privacy
- Actively participate in technical design discussions and propose innovative solutions to complex challenges
- Provide timely and constructive code reviews
- Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation
Requirements
- Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field
- 4-6 years of professional hands-on experience in developing evaluating & deploying machine learning models
- Strong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation
Benefits
- 401k matching
- Health insurance
- Commuter support
- Employee assistance programs
- Tuition assistance
- Employee resource groups
- Collaborative workspaces
About the Company
athenahealth is a leading healthcare technology company that offers IT solutions and expert services to healthcare providers.
Job Details
Salary Range
$145,000 - $247,000/yearly
Location
Boston, Massachusetts, U.S.
Employment Type
Full-time
Original Posting
View on company website