Senior Machine Learning Engineer - Medical Imaging in United States, Texas, Houston, Houston (TX Med Ctr)

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Senior Machine Learning Engineer - Medical Imaging
United States, Texas, Houston, Houston (TX Med Ctr)
New

Information Technology

   178307 Requisition #
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As a Senior Machine Learning Engineer specializing in medical imaging within the Data Impact & Governance department, you will help shape the future of clinical AI by building, deploying, and operating imaging models that directly impact patient care. This role offers the unique opportunity to work at the cutting edge of applied medical imaging ML within a world‑renowned cancer center—where your solutions influence diagnosis, treatment, safety, and operational excellence.

What’s in it for you?
• Exceptional Benefits: MD Anderson provides paid medical benefits, generous PTO, and strong retirement plans, supporting your health, well‑being, and long-term financial security.
• High‑Impact Work: Your models will be used in real clinical workflows—helping clinicians detect disease, streamline operations, and support better outcomes for patients.
• Advanced Technical Environment: Work with large-scale imaging datasets, enterprise GPU infrastructure, distributed compute, and cutting‑edge ML technologies—all within a governed clinical environment.
• Career Growth & Visibility: Collaborate closely with clinicians, data scientists, ML leadership, radiologists, and operational teams. Your work will influence institutional AI strategy and governance.
• Innovation with Responsibility: Help advance safe, ethical, and trustworthy AI practices in one of the world’s leading cancer centers.
• Collaborative Culture: Be part of a mission-driven organization that values innovation, learning, and teamwork.

Summary

The Senior Machine Learning Engineer – Medical Imaging owns the full lifecycle of clinical computer vision models deployed across the enterprise. This includes defining clinical ML problems, designing and training models, conducting rigorous validation, deploying models into clinical environments, and ensuring ongoing performance and reliability in real-world workflows.

The role is intended for engineers experienced in deploying and operating medical imaging ML models in production—especially within regulated, clinical, or safety‑sensitive settings. You will collaborate with multidisciplinary teams, investigate model performance issues such as distribution shift or protocol variability, and ensure responsible AI adoption through strong documentation, traceability, and governance alignment.

Major Work Activities
Core Responsibilities
• Own the full lifecycle of medical imaging ML models—from problem definition and model development to deployment, monitoring, maintenance, and retirement.
• Participate as a technical owner in formal governance, release, and incident review processes, with clear escalation paths and responsibilities.
• Translate clinica