2027 Summer Intern, AI Research, Embodied AI (Masters)
Salary not listed • Sunnyvale, California, United States of America • Internship
Posted 16d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
Sunnyvale, California, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
AI Research Engineer
About the job
The Embodied AI Research team is looking for an intern to conduct applied research at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings. Potential focus areas include foundation models for autonomy, vision-language-action models, generative and world models, learning for planning and control, and multimodal and temporal learning.
Responsibilities
- 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.
- Present findings clearly to technical and cross-functional audiences.
Requirements
- Currently pursuing or 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.
- Must be graduating between December 2027 and June 2028.
Benefits
- Monthly salary of $11,800.
- One-time lump sum taxable stipend payment.
- 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.