About the role#
As an Embodied AI Research Intern, you will conduct applied research on a project at the intersection of machine learning, robotics, and autonomous driving. You will work alongside experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate your findings. This role focuses on advancing artificial intelligence methods for autonomous vehicles and embodied systems, including foundation models, vision-language architectures, generative models, and reinforcement learning.
What you'll do#
- 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 to technical and cross-functional audiences.
What you'll need#
- Currently pursuing a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Robotics, or a related technical field.
- Must be graduating between December 2027 and June 2028.
- Strong understanding of modern machine learning and deep learning methods.
- Proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX.
- Demonstrated AI/ML research experience through coursework, academic projects, or publications.
- Strong analytical and problem-solving skills.
- Ability to work full-time, 40 hours per week, during the internship.
- Preferred experience includes transformers, large language models, diffusion models, reinforcement learning, or imitation learning.
- Familiarity with autonomous vehicles, robotics, or embodied AI is a plus.
- Experience with C++ or other systems programming languages is beneficial.
- Evidence of technical results through first-authored publications, patents, or open-source contributions is highly valued.
Location & details#
- Location: Sunnyvale, California.
- Term: Summer 2027.
- Work Modality: Hybrid (on-site 3 days per week).
- Employment: Full-time, paid internship.
About General Motors
General Motors is a public company based in Detroit, Michigan. It operates in the motor vehicle manufacturing industry. The company employs over 106,000 people. Its work spans the design and production of cars, trucks, and transportation technology, including software, electrification, and AI.
How to get in at General Motors
Securing an internship at General Motors requires a proactive approach to the application timeline. Because early applicants are often reviewed before the volume of candidates becomes unmanageable, Intern Insider sends an instant alert the moment a role matching your target is published. This allows you to submit your materials among the first group of applicants. Reaching out to the right person can also change your outcome. Intern Insider surfaces the recruiters behind the company's roles, which lets you contact them directly to ask about the position or a potential referral. This direct connection often improves response rates compared to submitting an application into a general queue.
