Senior Researcher, AI/ML Battery Modeler

Job DescriptionSenior Researcher, AI/ML Battery ModelerAt 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?At GM, your work won’t sit on a shelf – you’ll see it power real vehicles on the road. You’ll move ideas from theory → model → product, working at the intersection of fundamental science, advanced modeling, and real-world impact. Our Research team offers the opportunity to:Work alongside globally recognized experts across battery materials, modeling, and systems engineeringTackle open-ended, high-impact problems spanning electrochemistry, thermal science, mechanics, data science, and AILeverage cutting-edge experimental facilities, advanced instrumentation, and high-performance computingUse state-of-the-art AI/ML and scientific modeling tools to generate new insightsBe supported to publish and present original research in leading journals and top conferencesCollaborate with battery suppliers, tier 1 research universities, national labs, and DOE/NSF-funded programsSee your research directly implemented in GM EVs at a global scaleGrow across technical, leadership, and research career paths in a deeply technical environmentThe RoleAs 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 DoDevelop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradationBuild and refine Multiphysics models that couple electrochemical, thermal, and mechanical behaviorIdentify and develop novel modeling approaches for next-generation battery chemistries and systemsTurn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworksPartner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflowsPublish and present your work through peer-reviewed journals, conferences, and technical forumsDrive technical direction through deep problem solving, collaboration, and influence across disciplinesContribute to intellectual property and patents for new algorithms and modeling innovationsYour 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/MLProven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domainsStrong 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 datasetsDemonstrated research experience (e.g., publications, technical reports, or conference presentations)Ability to clearly communicate complex technical concepts to diverse audiencesStrong collaboration and problem-solving skills, with the ability to influence across teamsCommitment to continuous learning and advancing the state of the art in AI/ML and battery technologyWhat will give you a competitive edge (Preferred Qualifications)Experience with physics-informed or hybrid modeling approachesBackground in battery degradation, aging, or lifetime modelingFamiliarity with battery management systems (BMS) or system-level integrationExperience with large-scale datasets or high-performance computing environmentsContributions to patents, intellectual property, or external research collaborationsExperimental 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 onsite. This means the selected candidate is expected to report to a specific location on a full-time basis. This job may be eligible for relocation benefits. About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom 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 customer