Job Description

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for General Motors. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

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 AI Research organization is dedicated to advancing the state-of-the-art in AI for 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 a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing vision-language-action architectures to solve critical challenges in data mining and end-to-end autonomous driving. This role offers a unique opportunity to work on real-world AI/ML systems at scale, collaborating with and receiving mentorship from world-class researchers to shape the future of grounded foundation models in the autonomous vehicle industry.

What You’ll Do

• Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control.
• Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning.
• Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios.
• Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments.
• Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications.

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, LLMs, VLMs, generative models, multimodal learning).
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Research experience in AI/ML, demonstrated through coursework, academic projects, or publications.
• 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.
• Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks.
• 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 range 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

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.

About

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 (

Our Culture

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 (

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) ( . 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.

If you have questions about this posting, please contact support@lensa.com

Job Tags

Permanent employment, Full time, Internship, Work at office, Local area, Work from home, Relocation package,

Similar Jobs