General Motors · 1 day ago
2026 Summer Intern – AI/ML Intern – Vision Language Model/Action (PhD)
San Francisco, CA
Internship
Hybrid
Intern
$13,100/mo - $13,100/mo
Start in 2026 SummerGeneral Motors is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. As a VLM/VLA Research Intern on the AI Research team, you will develop foundational models that bridge the gap between high-level reasoning and physical execution, focusing on vision-language-action architectures to solve challenges in data mining and autonomous driving.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control
Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning
Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios
Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments
Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications
Qualification
Required
Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, LLMs, VLMs, 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
Strong problem-solving skills and a collaborative mindset
Strong communication and presentation skills
Experience working and communicating cross functionally in a team environment
Able to work fulltime, 40 hours per week
Preferred
Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS)
Experience working with large-scale datasets and training ML models in high-performance computing environments
Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks
Intent to return to degree program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
Benefits
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
Founded in 1908
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2026-01-09
2026-01-09
Company data provided by crunchbase