Summer Intern – AI/ML Engineer, Autonomous Vehicle, Simulation

General Motors

. Leverage AI/ML techniques to scale testing, classify autonomy performance, and mine critical scenarios, integrating human-in-the-loop where appropriate .

Posted 10/2/2026internshipSunnyvale • California • United StatesEntry Level💰 $8,100 - $9,600 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong programming skills in Python and a solid understanding of modern machine learning techniques, with hands-on experience in frameworks such as PyTorch and TensorFlow. Capable of collaborating with cross-functional teams to integrate ML models into simulation tests and contribute to the development of self-driving technology.

Highest-signal resume keywords

Python ProgrammingMachine Learning TechniquesPyTorchTensorFlowDeep Learning Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningPython ProgrammingC++JavaRoboticsComputer VisionMultimodal LearningSimulation InfrastructureAI/ML Research

Soft Skills

CollaborationClear CommunicationProblem Solving

Tools & Technologies

PyTorchTensorFlowJAXKeras

Industry Keywords

Artificial IntelligenceMachine LearningRoboticsSelf-Driving TechnologySimulation Tests

Tech Stack

Tools & technologies

JavaKerasPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Leverage AI/ML techniques to scale testing, classify autonomy performance, and mine critical scenarios, integrating human-in-the-loop where appropriate
Collaborate with engineers to integrate ML models into simulation tests and evaluation pipelines
Ramp up quickly on the codebase and domain and deliver assigned tasks efficiently
Develop, test, and deploy production-ready code across simulation infrastructure components
Define problem statements and implement optimal, tradeoff-aware solutions covering edge cases
Collaborate with cross-functional stakeholders and contribute to design and code reviews
Ensure seamless integration through clear communication
Apply work directly to iteration and validation of GM's self-driving stack

Requirements

What you’ll need

Currently pursuing a Bachelor's Degree in computer science, artificial intelligence, machine learning, robotics, engineering, or a related STEM field
Must have at least one additional quarter/semester of school remaining following completion of the internship
Solid understanding of modern machine learning techniques
Demonstrated coursework, research, or projects in AI/ML
Strong programming skills in Python
Able to work full-time, 40 hours per week
Currently pursuing a master's degree in a related STEM field is preferred
Exposure to deep learning architectures such as Transformers, CNNs, or diffusion models is preferred
Hands-on experience with PyTorch, TensorFlow, JAX, or Keras is preferred
Background in robotics and computer vision through projects or research is preferred
Familiarity with multimodal learning or sensor data is preferred
Interest in publications, open-source projects, or patents is preferred
Knowledge of C++ or Java is a plus
Intent to return to a degree program after completing the internship is preferred

Benefits

Comp & perks

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
One-time lump sum taxable stipend payment to eligible students to help facilitate relocation benefits