Role 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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .
What we're looking for
Currently pursuing or has completed a PhD in Computer Science, Machine Learning, or a closely related STEM field, or holds a Master’s degree with significant AI/ML contributions with at least one year of relevant industry experience or publications
Able to work full time, 40 hours per week
What will give you a Competitive Edge (Preferred Qualifications):
In depth knowledge about modern deep learning architectures—Transformers, Diffusion Models, CNNs and model training techniques at scale
Strong hands-on experience with at least one of the popular AI/ML frameworks ( PyTorch , Tensorflow , Keras or JAX)
Experience with anomaly detection and predictive maintenance applications through course work, research or projects
Experience with reinforcement learning for robotic control or process optimization through course work, research or projects
Experience training multimodal deep learning models
Demonstrated research contributions in AI/ML technologies through publication of PhD research in top- tier conferences or journals
Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis
Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field
Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java)
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
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 800-865-7580. 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.