Senior Researcher, AI/ML Battery Modeler
About The Position
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. This role is categorized as hybrid. This means the successful candidate is expected to report to the Research Administration Building at our Global Technical Center in Warren, MI three times per week, at minimum. The Role As a Senior Researcher, you will shape the future of electric mobility by developing next-generation battery models using advanced AI/ML techniques. You’ll build physics-informed, data-driven, and hybrid models – while defining new modeling approaches that push the boundaries of battery science and AI.
Requirements
- Master’s or Ph.D. in Electrical Engineering, Physics, Computer Science, Materials Science, Chemical Engineering, or related field with a focus on AI/ML
- Proven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domains
- Strong Python proficiency (required) with experience in ML/scientific libraries (e.g., PyTorch, TensorFlow, NumPy, SciPy)
- Strong analytical skills with the ability to extract insight from complex datasets
- Demonstrated research experience (e.g., publications, technical reports, or conference presentations)
- Ability to clearly communicate complex technical concepts to diverse audiences
- Strong collaboration and problem-solving skills, with the ability to influence across teams
- Commitment to continuous learning and advancing the state of the art in AI/ML and battery technology
Nice To Haves
- Experience with physics-informed or hybrid modeling approaches
- Background in battery degradation, aging, or lifetime modeling
- Familiarity with battery management systems (BMS) or system-level integration
- Experience with large-scale datasets or high-performance computing environments
- Contributions to patents, intellectual property, or external research collaborations
- Experimental experience with measurements of battery material/electrochemical properties
Responsibilities
- Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation
- Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior
- Identify and develop novel modeling approaches for next-generation battery chemistries and systems
- Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks
- Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows
- Publish and present your work through peer-reviewed journals, conferences, and technical forums
- Drive technical direction through deep problem solving, collaboration, and influence across disciplines
- Contribute to intellectual property and patents for new algorithms and modeling innovations
Benefits
- This job may be eligible for relocation benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
