Hybrid AI/ML Intern – Vision Language Model/Action (Masters)

at General Motors

• Job title: AI/ML Intern – Vision Language Model/Action (Masters)
• Job type: Internship
• Experience level: Entry level
• Salary: $10,600 per month
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Sunnyvale, United States

About the role

• VLM/VLA Research Intern working on embodied AI and vision-language-action architectures for autonomous vehicles. Collaborating with researchers on real-world AI/ML systems at scale.

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 Masters 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