Senior Researcher, AI/ML Battery Modeler

Senior Researcher, AI/ML Battery Modeler Hybrid: This role is categorized as hybrid. Successful candidate is expected to report to the Research Administration Building at GM Global Technical Center in Warren, MI at least 3 times per week. 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. Why GM Battery R&D? Work alongside globally recognized experts across battery materials, modeling, and systems engineering Tackle open-ended, high-impact problems spanning electrochemistry, thermal science, mechanics, data science, and AI Leverage cutting-edge experimental facilities, advanced instrumentation, and high-performance computing Use state-of-the-art AI/ML and scientific modeling tools to generate new insights Be supported to publish and present original research in leading journals and top conferences Collaborate with battery suppliers, tier 1 research universities, national labs, and DOE/NSF-funded programs See your research directly implemented in GM EVs at a global scale Grow across technical, leadership, and research career paths in a deeply technical environment 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. What You’ll Do 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 Your Skills & Abilities (Required Qualifications) 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 What will give you a competitive edge (Preferred Qualifications) 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 GM does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1‑B, OPT, STEM OPT, CPT, TN, J‑1, etc.). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. This job may be eligible for relocation benefits. Benefits Overview From day one, we’re looking out for your well‑being—at work and at home—so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at View phone number on click.appcast.io. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. #J-18808-Ljbffr GM