Description
Senior Researcher, AI/ML Battery Modeler
Hybrid: 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.
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?
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:
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Work alongside globally recognized experts across battery materials, modeling, and systems engineering
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Tackle open-ended, high-impact problems spanning electrochemistry, thermal science, mechanics, data science, and AI
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Leverage cutting-edge experimental facilities, advanced instrumentation, and high-performance computing
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Use state-of-the-art AI/ML and scientific modeling tools to generate new insights
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Be supported to publish and present original research in leading journals and top conferences
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Collaborate with battery suppliers, tier 1 research universities, national labs, and DOE/NSF-funded programs
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See your research directly implemented in GM EVs at a global scale
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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
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Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation
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Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior
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Identify and develop novel modeling approaches for next-generation battery chemistries and systems
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Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks
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Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows
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Publish and present your work through peer-reviewed journals, conferences, and technical forums
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Drive technical direction through deep problem solving, collaboration, and influence across disciplines
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Contribute to intellectual property and patents for new algorithms and modeling innovations
Your Skills & Abilities (Required Qualifications)
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Master’s or Ph.D. in Electrical Engineering, Physics, Computer Science, Materials Science, Chemical Engineering, or related field with a focus on AI/ML
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Proven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domains
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Strong Python proficiency (required) with experience in ML/scientific libraries (e.g., PyTorch, TensorFlow, NumPy, SciPy)
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Strong analytical skills with the ability to extract insight from complex datasets
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Demonstrated research experience (e.g., publications, technical reports, or conference presentations)
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Ability to clearly communicate complex technical concepts to diverse audiences
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Strong collaboration and problem-solving skills, with the ability to influence across teams
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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)
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Experience with physics-informed or hybrid modeling approaches
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Background in battery degradation, aging, or lifetime modeling
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Familiarity with battery management systems (BMS) or system-level integration
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Experience with large-scale datasets or high-performance computing environments
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Contributions to patents, intellectual property, or external research collaborations
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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.)
Ce poste est hybride. Cela signifie que le candidat retenu doit se rendre sur un site donné au moins trois fois par semaine {ou à une autre fréquence imposée par son supérieur hiérarchique}.
Ce poste peut donner droit à des indemnités de déménagement.
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.
