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

Description

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

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.

Location:

Sunnyvale, California

About the Team:

Offboard perception: Unlike onboard perception, which must run in real time on the AV, offboard perception can leverage larger models, greater compute, and acausal processing to achieve much higher accuracy. These high-accuracy detections support multiple consumers across the organization-for example, powering simulation and generating automated labels used to train onboard models.

About the Role:

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.

What You'll Do:

• 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.

• 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.

• 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.

• The monthly salary range 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