Job Description
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 Structured Perception team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on structured perception outputs (online maps, object tracking capabilities, and handling long-tail scenarios). We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning related to perceiving the environment around the car and enabling responses to those.
About the Role:
As an intern on the Structurer Perception 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, 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 asML track and map modules,foundation models, andvision-language architecturesfor real-world applications.
Proto@type ML models that improveperception, prediction, or decision-making for autonomous driving.
Collaborate with cross-functional teams, including research, robotics, and systems engineering.
Participate in technical discussions, share insights, and work towards publishing results.
Required Qualifications:
Currently pursuing orin the process of obtainingaMaster'sor Ph.D. 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.
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 hours per 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
Graduating between December 2026 and June 2027.
Compensation:
The monthly salary range for this role is $13,100 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 (https://search-careers.gm.com/en/working-at-gm/total-rewards) .
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 (https://search-careers.gm.com/en/how-we-hire) .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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:
Our Company (https://search-careers.gm.com/en/working-at-gm/)
Our Culture
How we hire??????? (https://search-careers.gm.com/en/how-we-hire/)
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.
Explore our global locations (https://search-careers.gm.com/en/locations/)
We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
