2027 Summer Intern, Data Scaling, Embodied AI
$142k - $175k • Sunnyvale, California, United States of America • Internship
Posted 22d ago
Job Location
Sunnyvale, California, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
As an Embodied AI Data Scaling Intern, you will contribute to a well-defined project aimed at enhancing the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to develop data pipelines, analyze extensive datasets, refine training workflows, or create infrastructure that boosts the number and quality of experiments the team can conduct. Potential focus areas include data curation and quality, data mining and scenario discovery, dataset and labeling pipelines, distributed training and model scaling, and ML experimentation and flywheel infrastructure.
Responsibilities
- Develop data pipelines and tooling for large-scale, multimodal autonomous driving datasets.
- Analyze data quality, coverage, distribution, and performance impact using quantitative methods.
- Prototype and evaluate approaches for data mining, curation, labeling, sampling, or scenario discovery.
- Improve training throughput, data loading, experiment reproducibility, or resource utilization in distributed computing environments.
- Collaborate with machine learning researchers, data engineers, infrastructure engineers, and autonomy teams.
- Build visualizations, metrics, dashboards, and evaluation workflows to communicate data and model behavior.
- Contribute to production-quality software through design reviews, code reviews, automated testing, continuous integration, and documentation.
- Present technical findings and document experiments, results, and recommendations.
Requirements
- Currently enrolled in or pursuing a Master’s or Ph.D. degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related technical field.
- Demonstrated experience through coursework, research, academic projects, or professional work in machine learning, data engineering, distributed systems, or a related area.
- Strong programming skills in Python.
- Experience working with data processing, databases, machine learning pipelines, or large-scale datasets.
- Strong analytical and problem-solving skills, with the ability to use quantitative analysis to guide decisions.
- 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.
- Must be graduating between December 2027 and June 2028.
- Intent to return to a degree program after completion of the internship.
Benefits
- 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.