Machine Learning Platform Engineer

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

 

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 believe that high-performing teams drive groundbreaking medical discoveries and 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 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:
- Maintain and continuously develop our ML platform, ensuring reliable operation and scalability.
- Integrate ML models seamlessly into clinical workflows, with a particular focus on integration within Epic EHR systems.
- Implement and manage ML Ops best practices, including model deployment, monitoring, version control, and reproducibility.
- Facilitate the 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.
Qualifications (1-4 years of experience):
- Data engineering, ML Ops, clinical integration, software engineering, or related roles.
- Clinical informatics systems, particularly Epic EHR integration.
- Familiarity with healthcare data standards and interoperability (HL7, FHIR).
- Proficiency in Python programming.
- Experience with frontend/UI frameworks, especially ReactJS.
- Strong experience in containerization and orchestration using Docker and Kubernetes.
- Familiarity with cloud services and microservice architectures (AWS or GCP, specifically services such as SQS, S3).
- Understanding of software best practices, including version control (Git), continuous integration/deployment, and quality assurance processes.
- Excellent communication skills, attention to detail, and the ability to collaborate effectively in a multidisciplinary team.

 

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 they 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.

 

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
Licenses and Credentials
Experience
Data warehousing development in large reporting environment(s) 2-3 years required and Experience with developing data pipelines using on Snowflake features ( Snowpipe, SnowSQL, Snow Sight, Data Streams ) required and Hands-on development experience with ETL/ELT tools, such as dbt, Fivetran, or Informatica required and Experience working in 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 a plus.

 

 

Hybrid

 

75 Francis Street

 

40

 

Regular

 

Day (United States of America)

Pay Range

$73,798.40 - $107,400.80/Annual

Grade

6
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.
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 ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

 

Mass General Brigham Competency Framework