AI/ML Intern working on cutting-edge vehicle autonomy projects. Developing algorithms that shape the future of self-driving technology with hands-on mentorship from experienced researchers.
Responsibilities
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.
Work with very large datasets containing diverse road driving conditions and driving behaviors and build our large driving models with these datasets.
Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
Participate in technical discussions, share insights, and work towards publishing results.
Requirements
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.
Experience working with large datasets, running parallel.
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
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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