Embodied AI Intern: Autonomous Driving Research (Hybrid)

General Motors LLC

Sunnyvale (CA)

Hybrid

USD 132,000 - 163,000

Full time

3 days ago
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Benefits offered by this job

Paid holidays
GM Family Discount Program
Mentorship program
Networking events
Career growth opportunities

Job summary

General Motors LLC is seeking an Embodied AI Research Intern in Sunnyvale, CA. You will conduct applied research at the intersection of machine learning, robotics, and autonomous driving, collaborating with senior researchers to design experiments, train models, and communicate findings.

Focus areas include foundation models for autonomy, vision-language-action architectures, world models, and planning/control learning.

Qualifications

  • Pursuing a Ph.D. in ML/AI/CS/Robotics or related field.
  • Strong understanding of modern ML and deep learning methods.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).
  • Demonstrated AI/ML research through coursework, projects, publications, or comparable work.

Responsibilities

  • Formulate research problems and develop prototypes for autonomous driving applications.
  • Design and run experiments, ablation studies, and quantitative evaluations.
  • Train and benchmark models using large-scale datasets and distributed compute.
  • Analyze model behavior, failure cases, and performance tradeoffs.
  • Collaborate with perception, planning, robotics, controls, and systems teams.

Skills

Python
PyTorch
TensorFlow
Research experience
Collaboration
Presentation skills

Education

Ph.D. in Machine Learning / AI / CS / Robotics

Tools

C++

Job description

General Motors LLC is seeking an Embodied AI Research Intern in Sunnyvale, CA. You will conduct applied research at the intersection of machine learning, robotics, and autonomous driving, collaborating with senior researchers to design experiments, train models, and communicate findings.

Focus areas include foundation models for autonomy, vision-language-action architectures, world models, and planning/control learning.

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