Data & ML Platform Engineering Intern

Aurora • Mountain View, CA

46d • $47 - $58 • Hybrid

About The Position

Aurora is seeking a Summer 2027 Data & ML Platform Engineering Intern to help build infrastructure that supports machine learning at scale. The work may span data pipelines, ML platforms, labeling and data-engine systems, distributed computing, and cloud tooling that transforms raw sensor and behavioral data into model-ready datasets. Interns will collaborate with autonomy and ML teams, help develop and maintain production-oriented systems, and contribute to Aurora’s mission of delivering self-driving technology safely.

Requirements

• Currently pursuing a bachelor's or master's degree in Computer Science, Data Engineering, or a related field.
• Strong programming skills in Python and/or Golang.
• Working knowledge of data pipeline and ETL concepts and basic distributed-systems tradeoffs, such as the CAP theorem.
• Experience with AWS or GCP.
• Applied exposure to ML, robotics, maps/geospatial systems, or a comparable domain.
• Hands-on experience building or extending a backend system or pipeline with real scale-up or scale-out requirements.

Nice To Haves

• Experience with parallel execution or distributed processing frameworks such as Spark, Ray, or Dask.
• Fluency with AI/agentic coding tooling.
• Prior internship or industry experience with production data infrastructure.

Responsibilities

• Build and maintain data pipelines and workflow automation that turn raw fleet and sensor data into model-ready datasets.
• Design or extend ML platform tooling, including labeling systems, data engines, and distributed compute systems used across autonomy teams.
• Use AWS or GCP infrastructure to scale data ingestion, storage, and processing workloads.
• Partner with ML engineers to understand downstream model requirements and translate them into pipeline and platform design decisions.
• Instrument systems for observability and help harden prototypes for production.

What This Job Offers

• Career Level: Intern