Overview

Site: The Brigham and Women's Hospital, Inc.

Mass General Brigham relies on a wide range of professionals to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We invite all applicants to join us and experience what it means to be part of Mass General Brigham.

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 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.

Responsibilities

• Maintain and continuously develop our ML platform, ensuring reliable operation and scalability.
• Integrate ML models seamlessly into clinical workflows, with a focus on Epic EHR systems integration.
• Implement and manage ML Ops best practices, including model deployment, monitoring, version control, and reproducibility.
• Facilitate deployment, scaling, and management of dockerized pipeline containers.
• Lead the development and improvement of user interfaces (ReactJS).
• Expand the ML platform’s capabilities, including support for Large Language Models (LLMs).
• Perform SQL-based data queries for efficient ingestion, extraction, and preparation of datasets.
• Generate and maintain high-quality datasets tailored to ML research and clinical studies.
• Oversee quality assurance processes, documentation standards, and best practices for the ML platform infrastructure.

Job Summary

Summary: Responsible for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats, and develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.

Does this position require Patient Care? No

Essential Functions

• Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
• Maintain and optimize various components of the data pipeline architecture.
• Deliver high quality, efficient solutions to meet technical standards and industry best practices.
• Deliver optimal technical solutions for business and operational requirements.
• Participate in team design sessions and contribute options and solutions; produce and support product documentation.
• Participate in ETL quality circle discussions to explore, discuss, and arrive at efficient solutions and best practices.

Qualifications

Education
Bachelor's Degree in Computer Science or related field required.

Experience

• Data warehousing development in large reporting environments (2-3 years) required.
• Experience with developing data pipelines using Snowflake features (Snowpipe, SnowSQL, Snow Sight, Data Streams) required.
• Hands-on development experience with ETL/ELT tools such as dbt, Fivetran, or Informatica required.
• Experience working in an Agile software development environment required.

Knowledge, Skills and Abilities

• Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.
• Familiarity with enterprise data warehousing systems is a plus.

Additional Job Details

• Remote Type: Hybrid
• Work Location: 75 Francis Street
• Scheduled Weekly Hours: 40
• Employee Type: Regular
• Work Shift: Day (United States of America)
• Pay Range: $73,798.40 - $107,400.80/Annual
• Grade: 6

At Mass General Brigham, we recognize and reward the unique value each team member brings. Base pay is determined with consideration of skills, experience, education, certifications, and other factors. The base pay shown is an estimate and does not include all elements of total compensation. We offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable, and recognition programs. Our Talent Acquisition team will provide an overview of potential compensation and benefits.

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. We will provide reasonable accommodation for applicants with disabilities. For accommodations in the job application process, contact Human Resources at (857) 282-7642.

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines effective leadership by specifying critical behaviors for success at each job level. The framework covers ten competencies and is used to evaluate performance, identify development needs, and support a strong talent pipeline.