AI/ML Research Engineer/Programmer

How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Who We Are

About e-HAIL and AI & Digital Health Innovation

AI & Digital Health Innovation represents a unification of interdisciplinary efforts at the intersection of artificial intelligence (AI) and health at the University of Michigan. We leverage community partners to provide forums for sharing digital and health AI research ideas, foster innovation, and strengthen proposal development initiatives. The e-HAIL Community is a supportive community of researchers that interacts regularly through online brainstorming sessions and in-person workshops, primarily focused on helping engineering and medical faculty prepare proposals for grant submissions.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest healthcare complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850.

Michigan

Medicine has over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world's most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

• Excellent medical, dental and vision coverage effective on your very first day
• 2:1 Match on retirement savings

Job Summary

We are looking for an AI/ML Research Engineer/Programmer to work on interdisciplinary research projects as part of faculty collaborations between the College of Engineering and the Medical School that target external grant applications for our e-HAIL (E-Health and Artificial Intelligence) community.

The e-HAIL AI/ML Research Engineer/Programmer will provide a broad spectrum of technical support using a variety of data sources (including EHR, imaging, textual, sensor, and survey data) and AI/ML methods. Projects will require the design, delivery, and optimization of solutions needed to validate a proof-of-concept before a grant can be submitted. These proof-of-concepts range from new model development to existing model optimization, and tools needed to validate models.

We are seeking a self-motivated, energetic individual with a strong background in Machine Learning and Computer Science, along with proven experience in systems analysis and programming. The ideal candidate will contribute to architecting and operating reproducible data and ML pipelines, integrating models into user-facing applications, and ensuring robust data governance and security practices. You will have the opportunity to work in an exciting and rewarding research area that constantly poses new technical and computational problems and contributes to better health outcomes.

This position is hybrid. A fully remote role would be considered for the right candidate.

Responsibilities*

• ML Systems & Pipelines
• Design, build, and maintain reproducible data and ML pipelines supporting both research experimentation and production deployment, including batch and distributed computing environments.
• Implement robust data engineering practices: ETL processes, event-driven data flows, logging, monitoring, error handling, and fault-tolerant I/O.
• Integrate model interpretability, evaluation, calibration, experiment tracking, and auditability into ML workflows to support transparent and responsible AI in healthcare.
• Application Development
• Develop secure, maintainable web applications, APIs, and interactive interfaces that surface model outputs and decision-support tools to researchers, clinicians, and partners.
• Build and integrate ML models into user-facing systems, ensuring reliability, scalability, and accessibility.
• Research & Collaboration
• Plan and coordinate software development across diverse faculty-led projects, contributing technical expertise from design through deployment.
• Write technical documentation, prepare summary reports and presentations, and provide input on grant applications and research manuscripts.
• Stay current on the latest technologies, tools, and best practices in ML systems, reproducible data science, and software engineering.
• Governance & Compliance
• Ensure compliance with data governance, security, and regulatory requirements (including HIPAA) when working with sensitive healthcare