2027 Summer Intern, Data Scaling, Embodied AI (Masters)
Salary not listed • Sunnyvale, California, United States of America • Internship
Posted 16d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
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 work on a well-scoped project that improves the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to build data pipelines, analyze large datasets, improve training workflows, or develop infrastructure that increases the number and quality of experiments the team can run. The Data Scaling team builds the data, machine learning, and infrastructure foundations that enable Embodied AI models to improve with scale, supporting large-scale autonomous driving models and the broader Embodied AI flywheel.
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 pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related technical field.
- Demonstrated experience in machine learning, data engineering, distributed systems, or a related area through coursework, research, academic projects, or professional work.
- 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
- Monthly salary of $11,800.
- One-time lump sum taxable stipend payment.
- Paid U.S. GM holidays.
- GM Family First Vehicle Discount Program.
- Potential for growth within GM.
- Intern events and networking opportunities.
- Mentorship and hands-on experience.