General Motors

Summer Intern – AI/ML Intern – Structured Perception

General Motors

internship

Posted on:

Location Type: Hybrid

Location: Sunnyvale • California • 🇺🇸 United States

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Salary

💰 $13,100 per month

Job Level

Entry Level

Tech Stack

PythonPyTorchTensorflow

About the role

  • Lead research and prototyping of advanced machine learning methods, such as ML track and map modules, foundation models, and vision-language architectures for real-world applications.
  • 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 Master’s or 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.
  • Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS) (preferred).
  • Experience working with large-scale datasets and training ML models in high-performance computing environments (preferred).
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 learningtransformersgenerative modelsmultimodal learningPythonPyTorchTensorFlowlarge-scale datasetshigh-performance computing
Soft skills
problem-solvingcollaborative mindsetcommunication skillspresentation skills
Certifications
Master’s degreePh.D.