2026 Summer Intern – Ai/ml Intern – Model Scaling Foundations (phd)

gmoshawa.ca

San Francisco, California, US
Base: $13,100 pm; bonus/equity: one-time lump sum ...
Hybrid
Foundation models
Vision-language architectures
Diffusion models
As an AI/ML Engineering Intern on the Model Scaling Foundations team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology

Job Summary

  • As an AI/ML Engineering Intern on the Model Scaling Foundations team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology.
  • This internship provides experience with real-world AI/ML systems, access to very large datasets of autonomous driving, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry.
  • The Scaling Foundations team is dedicated to building the ML technologies and cutting edge ML algorithms that enable us to go up the scaling curves for large driving models for building highly performant autonomous vehicles.

Matching Summary

As an AI/ML Engineering Intern on the Model Scaling Foundations team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology.

Salary

Base: $13,100 per month; Bonus/Equity: One-time lump sum taxable stipend payment; Benefits: Paid US GM Holidays, GM Family First Vehicle Discount Program, Result-based potential for growth within GM, Intern events

Skills & Requirements

Must-have

  • foundation models
  • vision-language architectures
  • diffusion models
  • self-supervised learning
  • imitation learning
  • reinforcement learning
  • large datasets

Nice-to-have

  • autonomous vehicles
  • advanced driver assistance systems
  • high-performance computing environments
  • quantitative approaches
  • analytical problems

Key Requirements

  • Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or related technical field
  • Proficiency in Python and ML frameworks (PyTorch or TensorFlow)
  • Research experience in AI/ML
  • Strong problem-solving skills
  • Strong communication and presentation skills
  • Able to work fulltime, 40 hours per week

Work Rights

Not specified

Tailored Resume

Cover Letter