Embodied AI Data Scaling Intern

General Motors; Sunnyvale (CA); Hybrid; USD 132,000 - 169,000; Full time

Benefits offered by this job

GM Benefits

Job summary

General Motors in Sunnyvale, CA seeks an Embodied AI Data Scaling Intern to work on data pipelines, large-scale datasets, and model training workflows within the Data Scaling team.

You’ll collaborate with researchers and engineers to develop tooling, analyze data quality, and help improve experimentation and deployment of autonomous driving datasets.

This hybrid internship requires on-site presence 3 days a week and offers exposure to production-quality software and ML foundations behind autonomy.

Qualifications

• Enrolled in or pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related field.
• Experience through coursework, research, or projects in ML, data engineering, or distributed systems.
• Strong Python programming skills.
• Experience with data processing, databases, ML pipelines, or large-scale datasets.
• Strong analytical and problem-solving skills with quantitative analysis.
• Ability to work collaboratively in cross-functional teams.
• Strong written, verbal, and presentation skills.
• Availability to work full-time (40 h/week) during internship.

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, CI, and documentation.
• Present technical findings and document experiments, results, and recommendations.

Skills

Python

Machine Learning

Data Engineering

Distributed Systems

Data Analysis

Education

Master's degree in CS/ML/DS/EE

Tools

PyTorch

TensorFlow

SQL

Docker

Kubernetes

Job description

General Motors in Sunnyvale, CA seeks an Embodied AI Data Scaling Intern to work on data pipelines, large-scale datasets, and model training workflows within the Data Scaling team.

You’ll collaborate with researchers and engineers to develop tooling, analyze data quality, and help improve experimentation and deployment of autonomous driving datasets.

This hybrid internship requires on-site presence 3 days a week and offers exposure to production-quality software and ML foundations behind autonomy.