{"schemaVersion":"jobsearcher.job.v1","id":"95738b2e0ada93b7fc1b3e9e","url":"https://jobsearcher.com/jobs/95738b2e0ada93b7fc1b3e9e","canonicalUrl":"https://jobsearcher.com/jobs/95738b2e0ada93b7fc1b3e9e","title":"Program Engineer 1","description":"Posting Description\n\nMACHINE 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.\nJob Requirements\n\nREQUIRED: 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).\nThis position is located in Cambridge, MA (MIT Jameel Clinic).\nPlease submit a Resume/CV; portfolio or GitHub with ML work; interviews will include technical challenge and discussion of past work.\nStart date is flexible, ideally immediate.\nWork is conducted on-site or hybrid; lab access; computational resource support; collaborative environment.","company":"Mit","rawCompany":"mit","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T11:22:55.359Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Program Engineer 1","description":"Posting Description\n\nMACHINE 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.\nJob Requirements\n\nREQUIRED: 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).\nThis position is located in Cambridge, MA (MIT Jameel Clinic).\nPlease submit a Resume/CV; portfolio or GitHub with ML work; interviews will include technical challenge and discussion of past work.\nStart date is flexible, ideally immediate.\nWork is conducted on-site or hybrid; lab access; computational resource support; collaborative environment.","datePosted":"2026-08-05T11:22:55.359Z","dateModified":"2026-08-05T11:22:55.359Z","hiringOrganization":{"@type":"Organization","name":"Mit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"95738b2e0ada93b7fc1b3e9e"},"url":"https://jobsearcher.com/jobs/95738b2e0ada93b7fc1b3e9e"}}