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

Qualifications

• 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

Benefits

• The monthly salary for this role is $13,100 per month
• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program
• 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

Responsibilities

• Hybrid: This internship is categorized as hybrid.

The selected intern is expected to report to the office up to three times per week or as determined by the team

• As an AI/ML Research Intern on the AI Research team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology
• 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

Full Description

Work Arrangement:

Hybrid: This internship is categorized as hybrid.

The selected intern is expected to report to the office up to three times per week or as determined by the team.

Locations:

San Francisco, California

Sunnyvale, California

Mountain View, California

About the Team:

The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles.

We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.

About the Role:

As an AI/ML Research Intern on the AI Research 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.

What You’ll Do:

• 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.

Required Qualifications:

• 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

Preferred Qualifications:

• 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

Compensation:

• The monthly salary for this role is $13,100 per month

• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.

What you’ll get from us (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