Autonomous Vehicles AI/ML Engineer Intern

generalmotors; Sunnyvale (CA); Hybrid; USD 137,000 - 163,000; Full time

Benefits offered by this job

Paid US GM Holidays

GM Family First Vehicle Discount

Growth potential within GM

Intern events to network

Job summary

General Motors invites applications for a PhD AI/ML Engineering Intern to advance reliable AI/ML capabilities for autonomous vehicle systems. You will translate deep research into production-oriented solutions spanning perception, planning, and decision-making using real driving data and simulation.

You will design experiments, build models, and contribute to data pipelines and evaluation tools, collaborating across research and engineering teams in a hybrid work setup.

Qualifications

• Currently enrolled full-time in a PhD program in computer science, machine learning, artificial intelligence, robotics, engineering, or a related STEM field.
• Must have at least one additional quarter/semester of school remaining following the completion of the internship.
• Demonstrated depth of AI/ML research through publications, research projects, advanced coursework, or equivalent technical work.
• Strong understanding of modern machine learning and deep learning methods.
• 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.
• Strong programming, debugging, and software development fundamentals.
• Strong communication skills and the ability to collaborate across research and engineering disciplines.
• Availability to work full-time, 40 hours per week, during the internship period.

Responsibilities

• Research and prototype advanced machine learning methods for perception, prediction, planning, or decision-making.
• 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.

Skills

Python

ML research

Experimental design

Communication

Collaboration

Debugging

Programming

Education

PhD in CS/ML/AI/Robotics

Tools

PyTorch

TensorFlow

JAX

Job description

General Motors invites applications for a PhD AI/ML Engineering Intern to advance reliable AI/ML capabilities for autonomous vehicle systems. You will translate deep research into production-oriented solutions spanning perception, planning, and decision-making using real driving data and simulation.

You will design experiments, build models, and contribute to data pipelines and evaluation tools, collaborating across research and engineering teams in a hybrid work setup.