2026 Summer Intern – AI/ML Intern - Autonomous Vehicle Engineering (PhD)

General Motors is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. As an AI/ML Research Intern, you’ll work on cutting-edge projects developing algorithms and models that shape the future of self-driving technology, collaborating with leading researchers and engineers.

Responsibilities

• Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning
• Prototype ML models that improve perception, prediction, or decision-making for autonomous driving
• Collaborate with cross-functional teams, including perception, robotics, and systems engineering
• Participate in technical discussions, share insights, and work towards publishing results

Skills

• 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, 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
• 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
• 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 Overview

Company H1B Sponsorship