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Summer Intern, AI Research, Embodied AI
General Motors. Conduct applied research on a well-scoped project at the intersection of machine learning, robotics, and autonomous driving .
Posted 10/9/2026internshipSunnyvale • California • United StatesEntry Level💰 $11,800 - $14,600 per monthWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning and deep learning methodologies, with proficiency in Python and frameworks such as PyTorch and TensorFlow. Capable of conducting applied research, designing experiments, and analyzing results in the context of autonomous driving and robotics.
Highest-signal resume keywords
Ph.D. In Machine LearningProficiency In PythonExperience With PyTorchStrong Analytical SkillsExperience With Large-Scale Datasets
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine LearningDeep LearningExperiment DesignModel TrainingData AnalysisReinforcement LearningC++ ProgrammingGenerative ArchitecturesDistributed TrainingQuantitative Evaluation
Soft Skills
Problem-SolvingCollaborationWritten CommunicationVerbal CommunicationPresentation Skills
Tools & Technologies
TensorFlowPyTorchJAXHigh-Performance ComputingDistributed Compute Infrastructure
Industry Keywords
Autonomous VehiclesRoboticsAdvanced Driver Assistance SystemsEmbodied AIAI/ML Research
Tech Stack
Tools & technologiesPythonPyTorchTensorflowC++
About the role
Key responsibilities & impact- Conduct applied research on a well-scoped project at the intersection of machine learning, robotics, and autonomous driving
- Work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings
- 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
Requirements
What you’ll need- Currently pursuing or in the process of obtaining a Ph.D. 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
- 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
- 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
Benefits
Comp & perks- One-time lump sum taxable stipend payment for eligible students selected for the 2027 Student Program
- 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