AI Researcher (AV) - Summer Internship

f the most complex challenges in autonomy and machine learning.

The mission of the AI Research group based in the US, is to create groundbreaking technologies for next-generation autonomous vehicles by combining cutting-edge research with real-world innovation and technology incubation. Among several initiatives , we are building multimodal foundation models (vision-language-action) over fleet- and internet-scale data, and we are building controllable world models that generate realistic, multi-sensor driving data (camera, radar, LiDAR) to strengthen coverage and accelerate long-tail reduction for our L3 autonomy product.

About the Role

This position is limited to the three-month academic summer break. Students are expected to work full-time in a hybrid setup, including at least three onsite days per week.

As an AI/ML Research Intern on the AI Research team,you'llwork oncutting-edgeprojects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. Thisinternship 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 will YOU 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 improveperception, prediction, or decision-making for autonomous driving.

• Collaborate with cross-functional teams, includingperception, robotics, and systems engineering.

• Participate in technical discussions, share insights, and work towards publishing results.

Your Skills & Abilities (Required Qualifications)

• Currently pursuing orin the process of obtainingaPh.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field

• Able to work fulltime during the academic summer break

• 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

What Can Give You a Competitive Edge (Preferred Qualifications)

• Intent to return to degree program after the completion of the internship

• Familiarity with autonomous vehicles or advanced driverassistancesystems (ADAS)

• Experience working with large-scale datasets and training ML models in high-performance computing environments.

• 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

• Experience building systems based on machine learning, reinforcementlearningand/or deep learning methods

About GM

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Why Join Us

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