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  • Program Engineer 1

    Massachusetts Institute of Technology (Cambridge, MA)



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    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: Not Available

    + Pay Range Maximum: Not Available

    + Employment Type: Full-Time

    + Employment Category: Exempt

    + Visa Sponsorship Available: No

    + Schedule: M-F

    + Pay Grade: No Grade

     

    Email a Friend Save Save Apply Now

    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

     


    Apply Now



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