2026 Summer Intern – AI/ML Intern – Sensor Encoder (PhD)

About the Role

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As an intern on the sensor encoder team,you’llwork oncutting-edgeprojects 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.

WhatYou’llDo:

• Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, self-supervised learning.

• Prototype ML models that improveperception, 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.

Required Qualifications:

• Currently pursuing orin the process of obtainingaPh.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).

• Proficiencyin Python and ML frameworks such asPyTorchor TensorFlow.

• Research experience in AI/ML,demonstratedthrough coursework, academic projects, or publications.

• Strong problem-solving skills and a collaborative mindset.

• Strong communicationand presentation skills.

• Experience working and communicating cross functionally in a team environment.

• Able to work fulltime,40 hoursper week

Preferred Qualifications:

• Familiarity with autonomous vehicles or advanced driverassistancesystems (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 asNeurIPS, 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.

Compensation:

• 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.

Whatyou’llget 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

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