2027 Summer Intern, AI Research, Embodied AI (Masters)

General Motors LLC; Sunnyvale (CA); Hybrid; USD 132,000 - 153,000; Part time

Benefits offered by this job

Paid US holidays

GM Family First Vehicle Discount

Mentorship and hands-on ML foundation

Intern events and networking

Job summary

General Motors LLC invites applications for an Embodied AI Research Intern in Sunnyvale. You will frame research questions, run experiments, and develop prototypes at the intersection of machine learning, robotics and autonomous driving.

You’ll train models on large datasets, analyze results, and communicate findings to researchers and engineers. You’ll collaborate with perception, planning, robotics, and systems teams, contribute to publications or open-source work, and gain mentorship while

Qualifications

• Currently pursuing or in the process of obtaining a Masters in Machine Learning, Artificial Intelligence, Computer Science, Robotics, or a related technical field.
• Strong understanding of modern machine learning and deep learning methods.
• Proficiency in Python and experience with PyTorch, TensorFlow, JAX, or another machine learning framework.
• Demonstrated AI/ML research experience through coursework, academic projects, publications, or comparable work.
• Strong analytical and problem-solving skills, with experience designing experiments and interpreting results.
• Ability to work collaboratively in a cross-functional, team-oriented environment.
• Strong written, verbal, and presentation skills.
• Availability to work full-time, 40 hours per week, during the internship period.

Responsibilities

• Formulate research problems and develop prototypes for autonomous driving applications.
• Design and run experiments, ablation studies, and quantitative evaluations.
• Train and benchmark models using large-scale datasets and distributed compute infrastructure.
• Analyze model behavior, failure cases, generalization, and performance tradeoffs.
• Collaborate with perception, planning, robotics, controls, and systems engineering teams.
• Contribute to technical discussions, research documentation, publications, patents, or open-source work where appropriate.
• Present findings clearly to technical and cross-functional audiences.

Skills

Python

PyTorch

TensorFlow

ML research

Communication

Education

Master’s degree in ML/AI/CS/Robotics

Tools

JAX

Job description

Job Description

Work Arrangement

• Hybrid: This internship is categorized as on-site.
• The selected intern is expected to report to the office 3 days a week.
• Location: Sunnyvale, CA

About the Team

The Embodied AI Research team advances artificial intelligence methods for autonomous vehicles and embodied systems. We explore how models can combine visual and sensor understanding, language and other modalities, reasoning, prediction, and action to address challenging problems in autonomous driving. Our work includes foundation models, vision-language and vision-language-action architectures, generative and world models, self-supervised learning, imitation learning, reinforcement learning, multimodal learning, and methods for learning from large-scale driving data. We work closely with engineering teams to translate research into reliable systems for real-world autonomy.

About the Role

As an Embodied AI Research Intern, you will conduct applied research on a well-scoped project at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings.

Potential focus areas

• Foundation Models for Autonomy: Develop or adapt large-scale models that learn useful representations and capabilities from diverse driving data.
• Vision-Language-Action Models: Explore architectures that connect multimodal perception and high-level reasoning with autonomous vehicle decisions and actions.
• Generative and World Models: Use generative techniques to model complex driving environments, improve scenario understanding, or support planning and simulation.
• Learning for Planning and Control: Apply imitation learning, reinforcement learning, or other learning methods to improve prediction, decision-making, and vehicle behavior.
• Multimodal and Temporal Learning: Build methods that reason over camera, lidar, radar, map, language, and time-series information.

What You’ll Do

• Formulate research problems and develop prototypes for autonomous driving applications.
• Design and run experiments, ablation studies, and quantitative evaluations.
• Train and benchmark models using large-scale datasets and distributed compute infrastructure.
• Analyze model behavior, failure cases, generalization, and performance tradeoffs.
• Collaborate with perception, planning, robotics, controls, and systems engineering teams.
• Contribute to technical discussions, research documentation, publications, patents, or open-source work where appropriate.
• Present findings clearly to technical and cross-functional audiences.

Required Qualifications

• Currently pursuing or in the process of obtaining a Masters in Machine Learning, Artificial Intelligence, Computer Science, Robotics, or a related technical field.
• Strong understanding of modern machine learning and deep learning methods.
• Proficiency in Python and experience with PyTorch, TensorFlow, JAX, or another machine learning framework.
• Demonstrated AI/ML research experience through coursework, academic projects, publications, or comparable work.
• Strong analytical and problem-solving skills, with experience designing experiments and interpreting results.
• Ability to work collaboratively in a cross-functional, team-oriented environment.
• Strong written, verbal, and presentation skills.
• Availability to work full-time, 40 hours per week, during the internship period.

Preferred Qualifications

• Experience with transformers, large language models, vision-language models, vision-language-action models, diffusion models, or other generative architectures.
• Experience with reinforcement learning, imitation learning, self-supervised learning, world models, multimodal learning, or temporal modeling.
• Familiarity with autonomous vehicles, advanced driver assistance systems, robotics, or embodied AI.
• Experience working with large-scale datasets, distributed training, high-performance computing, or model scaling.
• Evidence of significant technical results through first-authored publications, grants, fellowships, patents, or open-source contributions. Relevant venues may include NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar conferences and workshops.
• Experience with C++ or another systems programming language.
• Intent to return to a degree program after completion of the internship or co-op.
• Must be graduating between December 2027 and June 2028.

Compensation

The monthly salary range for this role is $11,800 per month. GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.

What You’ll Get from Us

• Paid U.S. GM holidays.
• GM Family First Vehicle Discount Program.
• Potential for growth within GM based on performance and business needs.
• Intern events and opportunities to network with company leaders and peers.
• Mentorship and hands-on experience with the data and ML foundations behind autonomy.

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

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

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Accommodations

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Our Company

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of Zero Crashes, Zero Emissions and Zero Congestion.

Our Culture

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team.

How we hire

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).