2027 Summer Intern – AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)
$156k - $187k • Sunnyvale, California, United States of America • Internship
Posted 1mo ago
Job Location
Sunnyvale, California, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
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. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.
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.
Requirements
- 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.
Benefits
- 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