Data Scaling Intern — Autonomous Driving AI (Hybrid)

General Motors Corporation; Sunnyvale (CA); Hybrid; USD 132,000 - 163,000; Full time

Benefits offered by this job

Paid U.S. GM holidays

GM Family First Vehicle Discount Prog​

Job summary

General Motors Corporation in Sunnyvale, CA, invites applications for the 2027 Summer Intern, Data Scaling, Embodied AI. This hybrid on-site role requires reporting to the office 3 days per week and focuses on building data pipelines, data quality, and scalable model training workflows for autonomous driving research.

The internship emphasizes collaboration across ML researchers, data engineers, and autonomy teams, with exposure to production-grade software practices and results documentation.

Qualifications

• 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.

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.

Skills

Python

Data engineering

Machine learning

Distributed systems

Analytical skills

Team collaboration

Presenting skills

Education

Master’s or Ph.D. degree

Tools

PyTorch

TensorFlow

JAX

SQL

Job description

General Motors Corporation in Sunnyvale, CA, invites applications for the 2027 Summer Intern, Data Scaling, Embodied AI. This hybrid on-site role requires reporting to the office 3 days per week and focuses on building data pipelines, data quality, and scalable model training workflows for autonomous driving research.

The internship emphasizes collaboration across ML researchers, data engineers, and autonomy teams, with exposure to production-grade software practices and results documentation.