Job Description
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 improveperception, prediction, or decision-making for autonomous driving.
Work withvery largedatasetscontainingdiverse road driving conditions anddrivingbehaviors and build ourlarge driving models with these datasets.
Collaborate with cross-functional teams, includingperception, robotics, and systems engineering.
Participate in technical discussions, share insights, and work towards publishing results.
Required Qualifications:
Currently pursuing orin the process of obtaininga 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).
Proficiencyin Python and ML frameworks such asPyTorchor TensorFlow.
Research experience in AI/ML,demonstratedthrough coursework, academic projects, or publications.
Experience working with large datasets, running parallel
Strong problem-solving skills and a collaborative mindset.
Strong communicationand presentation skills.
Experience working and communicating cross functionally in a team environment.
Able to work fulltime,40 hoursper week
Preferred Qualifications:
Familiarity with autonomous vehicles or advanced driverassistancesystems (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 asNeurIPS, 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, reinforcementlearningand/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 and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
Accommodations
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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
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Our Culture
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Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
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