#JR-202521602
./Master's student to join our team and contribute to cutting-edge research projects.
What will YOU do?
Participate in the development and evaluation of state-of-the-art AI solutions aimed at improving human-machine interfaces in GM vehicles.
Conduct guided research, including algorithm design and experimental validation in both laboratory and in-vehicle environments.
Your Skills & Abilities (Required Qualifications)
Currently enrolled in a Ph.D. program in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or a related field (strong M.Sc candidates will also be considered).
Strong foundation in machine learning and deep learning; experience with large language models (LLMs) and generative AI is a plus.
Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.
About GM
Our 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.
Total Rewards | 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.
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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.
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