General Motors

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

General Motors

internship

Posted on:

Location Type: Hybrid

Location: Sunnyvale • California • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $10,600 per month

Job Level

Entry Level

Tech Stack

PythonPyTorchTensorflow

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdeep learningtransformersLLMsVLMsgenerative modelsmultimodal learningPythonPyTorchTensorFlow
Soft skills
problem-solvingcollaborative mindsetcommunication skillspresentation skillscross-functional communication
Certifications
Masters in Machine LearningMasters in Artificial IntelligenceMasters in Computer Science