Massachusetts General Hospital
Machine Learning Platform Engineer
Massachusetts General Hospital, Boston, Massachusetts, us, 02298
Site
The Brigham and Women's Hospital, Inc.
Overview 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.
Recruitment 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 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.
Qualifications Education
Bachelor's Degree Computer Science required
Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree? Yes
Experience
Data warehousing development in large reporting environment(s) 2‑3 years required
Experience with developing data pipelines using on Snowflake features (Snowpipe, SnowSQL, SnowSight, Data Streams) required
Hands‑on development experience with ETL/ELT tools, such as dbt, Fivetran, or Informatica required
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.
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 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.
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 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 At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People‑Focused, half Performance‑Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
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Overview 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.
Recruitment 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 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.
Qualifications Education
Bachelor's Degree Computer Science required
Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree? Yes
Experience
Data warehousing development in large reporting environment(s) 2‑3 years required
Experience with developing data pipelines using on Snowflake features (Snowpipe, SnowSQL, SnowSight, Data Streams) required
Hands‑on development experience with ETL/ELT tools, such as dbt, Fivetran, or Informatica required
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.
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 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.
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 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 At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People‑Focused, half Performance‑Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
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