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Program Engineer 1

  • Cambridge, MA, United States

Full-time

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Job details

Job type
Full-time
Posting language
English
Posted

Original job description

Program Engineer 1

  • Job Number: 25191
  • Functional Area: Research - Engineering
  • Department: Jameel Clinic for ML in Health
  • School Area: Schwarzman College of Computing
  • Pay Range Minimum: $73,000
  • Pay Range Maximum: $111,000
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule: M-F
  • Pay Grade: No Grade

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Posting Description

MACHINE LEARNING ENGINEER, Jameel Clinic for Machine Learning, will lead deploying machine learning models developed in our labs; collaborate with researchers to improve novel algorithms; customize models for industry and healthcare partners; drive open-source software efforts; contribute to grant proposals, academic papers, and reports; and ensure seamless integration of AI technologies in diagnostics, treatment personalization, and outcome prediction.

Job Requirements

REQUIRED: A minimum of two years of software engineering experience in ML/AI projects; strong Python programming skills; proficiency with deep learning frameworks (e.g. PyTorch); experience with model deployment using Docker, Kubernetes, or similar; and excellent communication ability to convey complex technical work to non-technical stakeholders. PREFERRED: Experience with MLOps tools/practices (monitoring models, handling model drift, continuous integration/continuous deployment); domain familiarity in biotech, computational biology, medical imaging, drug discovery; experience with geometric deep learning; and cloud platform experience (AWS, GCP, or Azure).

This position is located in Cambridge, MA (MIT Jameel Clinic).

Please submit a Resume/CV; portfolio or GitHub with ML work; interviews will include technical challenge and discussion of past work.

Start date is flexible, ideally immediate.

Work is conducted on-site or hybrid; lab access; computational resource support; collaborative environment.

9/12/2025

More about this job

Skills

  • Research
  • ML
  • Python
  • Deep learning
  • PyTorch
  • Docker
  • Kubernetes
  • Communication skills
  • CI/CD
  • AWS
  • Google Cloud
  • Microsoft Azure

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