AI/ML Intern focusing on advanced machine learning methods for autonomous vehicles at GM. Collaborating on projects in vehicle autonomy and sensor data processing.
Responsibilities
Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, self-supervised learning.
Prototype ML models that improve perception, 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.
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.
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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