Summer Intern, AI Research, Embodied AI

General Motors

. Conduct applied research on a well-scoped project at the intersection of machine learning, robotics, and autonomous driving .

Posted 10/15/2026internshipSunnyvale • California • United StatesEntry Level💰 $11,800 per monthWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Conduct applied research on a well-scoped project at the intersection of machine learning, robotics, and autonomous driving
Develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings
Formulate research problems and develop prototypes for autonomous driving applications
Design and run experiments, ablation studies, and quantitative evaluations
Train and benchmark models using large-scale datasets and distributed compute infrastructure
Analyze model behavior, failure cases, generalization, and performance tradeoffs
Collaborate with perception, planning, robotics, controls, and systems engineering teams
Contribute to technical discussions, research documentation, publications, patents, or open-source work where appropriate
Present findings clearly to technical and cross-functional audiences

Requirements

What you’ll need

Currently pursuing or in the process of obtaining a Masters in Machine Learning, Artificial Intelligence, Computer Science, Robotics, or a related technical field
Strong understanding of modern machine learning and deep learning methods
Proficiency in Python and experience with PyTorch, TensorFlow, JAX, or another machine learning framework
Demonstrated AI/ML research experience through coursework, academic projects, publications, or comparable work
Strong analytical and problem-solving skills, with experience designing experiments and interpreting results
Ability to work collaboratively in a cross-functional, team-oriented environment
Strong written, verbal, and presentation skills
Availability to work full-time, 40 hours per week, during the internship period
Experience with transformers, large language models, vision-language models, vision-language-action models, diffusion models, or other generative architectures
Experience with reinforcement learning, imitation learning, self-supervised learning, world models, multimodal learning, or temporal modeling
Familiarity with autonomous vehicles, advanced driver assistance systems, robotics, or embodied AI
Experience working with large-scale datasets, distributed training, high-performance computing, or model scaling
Evidence of significant technical results through first-authored publications, grants, fellowships, patents, or open-source contributions
Experience with C++ or another systems programming language
Intent to return to a degree program after completion of the internship or co-op
Must be graduating between December 2027 and June 2028

Benefits

Comp & perks

One-time lump sum taxable stipend payment for eligible students selected for the 2027 Student Program
Paid U.S. GM holidays
GM Family First Vehicle Discount Program
Potential for growth within GM based on performance and business needs
Intern events and opportunities to network with company leaders and peers
Mentorship and hands-on experience with the data and ML foundations behind autonomy