General Motors

General Motors

2027 Summer Intern – AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)

Sunnyvale, California · Intern · Internship

Sponsorship not specifiedDetected 15 days ago
PythonC++Machine LearningDeep LearningTensorFlowPyTorchData EngineeringNLPComputer VisionA/B TestingRoboticsSensorsResearchCommunicationProblem Solving

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PERM / green-card track0
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About the role

  • As a PhD AI/ML Engineering Intern within General Motors' Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems.
  • You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments.

Responsibilities

  • Design, train, evaluate, and improve models using large-scale multimodal driving and sensor data.
  • Build data pipelines, experimentation workflows, and evaluation tools for rapid model iteration.
  • Validate models through simulation, testing, performance analysis, and failure-case investigation.
  • Optimize models and systems for scalability, latency, reliability, and deployment constraints.
  • Collaborate with engineering and research partners to integrate prototypes into autonomous vehicle systems.
  • Document findings, present technical insights, and contribute to publications or other research outputs.

Requirements

  • Must have at least one additional quarter/semester of school remaining following the completion of the internship
  • Proficiency in Python and hands-on experience with an ML framework such as PyTorch, TensorFlow, or JAX.
  • Experience designing experiments, analyzing results, and applying quantitative problem-solving methods.

Nice to have

  • Candidates are not expected to meet every qualification listed below.
  • Depending on the needs of a specific Autonomous Vehicles team, a combination of these skills and areas of knowledge may be relevant.
  • Train models on large-scale datasets using distributed, parallel, or high-performance computing environments.
  • Apply expertise in trajectory prediction, behavior planning, motion planning, perception, mapping, or structured scene understanding.
  • Program in C++ or other systems programming languages.
  • Apply numerical optimization, statistical estimation, probabilistic modeling, and systems-level tradeoff analysis.
  • Demonstrate a strong research record through first-authored publications, grants, fellowships, patents, or open-source contributions.
  • The compensation information is a good faith estimate only.

Compensation

  • The compensation information is a good faith estimate only.
  • The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
  • The salary range for this role is $12,300-$14,600 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Benefits

  • Research and prototype advanced machine learning methods for perception, prediction, planning, or decision-making.
  • Currently enrolled full-time in a PhD program in computer science, machine learning, artificial intelligence, robotics, engineering, or a related STEM field.
  • Strong understanding of modern machine learning and deep learning methods.
  • What you'll get from us (Benefits):
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This listing is sourced directly from General Motors's careers page and normalized into a canonical job model.