Job Description
GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Group:
At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, we are shaping next-generation autonomous driving, L3 and beyond. The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.
The mission of the AI Research group based in the US, is to create groundbreaking technologies for next-generation autonomous vehicles by combining cutting-edge research with real-world innovation and technology incubation. Among several initiatives, we are building multimodal foundation models (vision–language–action) over fleet- and internet-scale data, and we are building controllable world models that generate realistic, multi-sensor driving data (camera, radar, LiDAR) to strengthen coverage and accelerate long-tail reduction for our L3 autonomy product.
About the Role
This position is limited to the three-month academic summer break. Students are expected to work full-time in a hybrid setup, including at least three onsite days per week.
As an AI/ML Research Intern on the AI Research team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry.
What will YOU do?
Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
Participate in technical discussions, share insights, and work towards publishing results.
Your Skills & Abilities (Required Qualifications)
Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
Able to work fulltime during the academic summer break
Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning)
Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Research experience in AI/ML, demonstrated through coursework, academic projects, or publications
What Can Give You a Competitive Edge (Preferred Qualifications)
Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS)
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.
Non-Discrimination and Equal Employment Opportunities
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.
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.
Accommodations
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