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

Franmarbuscompany

San Francisco, California, US
Base: $13,100 pm; bonus/equity: not specified; ben...
Hybrid
Foundation models
Vision-language architectures
Diffusion models
Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning

Job Summary

  • Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
  • Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
  • 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

Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.

Salary

Base: $13,100 per month; Bonus/Equity: Not specified; Benefits: Paid US GM Holidays, GM Family First Vehicle Discount Program, Intern events

Skills & Requirements

Must-have

  • foundation models
  • vision-language architectures
  • diffusion models
  • self-supervised learning
  • imitation learning
  • reinforcement learning
  • Python and ML frameworks

Nice-to-have

  • autonomous vehicles or ADAS
  • high-performance computing environments
  • analytical problems using quantitative approaches

Key Requirements

  • Pursuing Ph.D. in Machine Learning, AI, Computer Science
  • Solid understanding of modern machine learning techniques
  • Proficiency in Python and ML frameworks
  • Research experience in AI/ML
  • Experience working with large datasets
  • Strong problem-solving skills
  • Strong communication and presentation skills
  • Able to work fulltime, 40 hours per week

Work Rights

Not specified

Tailored Resume

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