2026 Summer Intern - Machine Learning Engineer- Autonomous Vehicle Engineering (PhD)

General Motors • Sunnyvale, CA

7d • Hybrid

About The Position

As a Machine Learning Engineering Intern, you will work alongside a world-class team of engineers and researchers on impactful AI/ML projects in robotics and advanced manufacturing. You’ll gain hands-on experience contributing to the design, prototyping, and potential deployment of AI systems in real-world industrial settings. This is an excellent opportunity to explore applied research and development while learning from top experts in the field.

Requirements

• Currently enrolled in a PhD program in Computer Science, Machine Learning, Robotics, or a related STEM field.
• Availability to work full-time (40 hours per week) during the internship period.
• Demonstrated coursework, research., or projects in AI/ML.
• Strong programming skills in Python.
• Able to work fulltime, 40 hours per week.

Nice To Haves

• Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models.
• Hands-on experience with one or more machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, or Keras).
• Experience with robotics, computer vision through projects or research.
• Familiarity with multimodal learning or working with sensor data.
• Interest in contributing to publications, open-source projects, or patents.
• Familiarity with systems programming languages (e.g., C++ or Java) is a plus.
• Intent to return to degree-program after the completion of the internship.
• Graduating between December 2026 and June 2027.

Responsibilities

• Collaborate with cross-functional teams to adapt and optimize machine learning models for autonomous vehicle perception, including robotics and computer vision applications.
• Help build and test components of end-to-end deep learning pipelines that process multimodal sensor data (e.g., cameras, lidars, radars).
• Assist in developing and evaluating foundation models and transfer learning techniques for use
• Participate in translating technical and business requirements into ML prototypes.
• Gain exposure to the training, deployment, and performance monitoring of machine learning models in production-like environments.
• Learn how research ideas evolve into real-world applications and contribute to the team's innovation roadmap.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree