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2026 Summer Intern – AI/ML Intern – Structured Perception (PhD)

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General Motors

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

13100.00 USD / Month

Job Description:

The Structured Perception team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on structured perception outputs (online maps, object tracking capabilities, and handling long-tail scenarios). As an intern on the Structured Perception team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry.

Job Responsibility:

  • 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

Nice to have:

  • Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS)
  • Experience working with large-scale datasets and training ML models in high-performance computing environments
  • Intent to return to degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
  • Graduating between December 2026 and June 2027
What we offer:
  • 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
  • GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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