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Model at General Motors Sunnyvale, CA

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Carlsbad Tech
Full Time, Apprenticeship/Internship position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
  • Engineering
    AI Engineer
Salary/Wage Range or Industry Benchmark: 10600 USD Monthly USD 10600.00 MONTH
Job Description & How to Apply Below

Job Description

Model job at General Motors. Sunnyvale, CA.

Overview

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

Work Arrangement

Hybrid:
This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.

Locations
  • San Francisco, California
  • Sunnyvale, California
  • Mountain View, California
About the Team

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. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.

About the Role

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.

What

You ll Do
  • 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.
  • Work with very large datasets containing diverse road driving conditions and driving behaviors and build our large driving models with these datasets.
  • Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
  • Participate in technical discussions, share insights, and work towards publishing results.
Required Qualifications
  • Currently pursuing or in the process of obtaining a Masters in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field.
  • Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning).
  • Proficiency in Python and ML frameworks such as PyTorch or Tensor Flow.
  • Research experience in AI/ML, demonstrated through coursework, academic projects, or publications.
  • Experience working with large datasets, running parallel
  • Strong problem-solving skills and a collaborative mindset.
  • Strong communication and presentation skills.
  • Experience working and communicating cross functionally in a team environment.
  • Able to work fulltime, 40 hours per week.
Preferred Qualifications
  • Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS).
  • Experience working with large-scale datasets and training ML models in high-performance computing environments.
  • Intent to return to degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar.
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
Compensation
  • The monthly salary for this role is $10,600 per month
  • GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
What you ll get from us (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
About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we re looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive…

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