2026 Summer Intern – AI/ML Intern – Structured Perception (PhD)
About The Position
The Structured Perception team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on structured perception outputs (online maps, object tracking capabilities, and handling long-tail scenarios). We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning related to perceiving the environment around the car and enabling responses to those. As an intern on the Structurer Perception 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.
Requirements
- Currently pursuing or in the process of obtaining a Master’s or 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, 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
Nice To Haves
- 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.
- 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
- Graduating between December 2026 and June 2027.
Responsibilities
- Lead research and prototyping of advanced machine learning methods, such as ML track and map modules, foundation models, and vision-language architectures for real-world applications.
- Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
- Collaborate with cross-functional teams, including research, robotics, and systems engineering.
- Participate in technical discussions, share insights, and work towards publishing results.
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
