VLM/VLA Research Intern at General Motors developing AI models for autonomous vehicles. Involves collaboration with top researchers on embodied AI and vision-language-action architectures.
Responsibilities
Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control.
Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning.
Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios.
Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments.
Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications.
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, LLMs, VLMs, 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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