Autonomous Driving Data Scaling Intern

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

Job summary

General Motors is seeking an Embodied AI Data Scaling Intern in Sunnyvale, CA, with a hybrid on-site work arrangement (3 days in the office). The role focuses on building data pipelines and improving data quality for autonomous driving models.

You will collaborate with researchers and engineers to scale data and experiments. The internship emphasizes collaboration across ML researchers, data engineers, and autonomy teams, with opportunities to contribute to production-quality software, training

Qualifications

• Currently enrolled in a Master’s or Ph.D. program in a technical field (CS/ML/DS/EE).
• Experience with ML, data engineering, distributed systems, or related areas through coursework or projects.
• Strong Python programming skills and ability to work with data processing pipelines.

Responsibilities

• Develop data pipelines and tooling for large-scale multimodal autonomous driving datasets.
• Analyze data quality, coverage, distribution, and performance using quantitative methods.
• Prototype and evaluate data mining, curation, labeling, sampling, or scenario discovery approaches.

Skills

Python programming

Data engineering

Distributed systems

Analytical skills

Team collaboration

Communication skills

Education

Master's or PhD in CS/ML/DS/EE

Tools

PyTorch

TensorFlow

JAX

Job description

General Motors is seeking an Embodied AI Data Scaling Intern in Sunnyvale, CA, with a hybrid on-site work arrangement (3 days in the office). The role focuses on building data pipelines and improving data quality for autonomous driving models.

You will collaborate with researchers and engineers to scale data and experiments. The internship emphasizes collaboration across ML researchers, data engineers, and autonomy teams, with opportunities to contribute to production-quality software, training