Data & ML Platform Engineering Intern

Mountain View, CA · Remoteinternship

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entry

H1B: yes

Aurora Operations Inc Data & ML Platform Engineering Interns build and maintain data pipelines and ML platform tooling to support Aurora's autonomy teams. They use cloud infrastructure to scale data ingestion and processing workloads and collaborate with ML engineers on platform design.

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 (labeling systems, data engines, distributed compute) used across autonomy teams
Use cloud infrastructure (AWS/GCP) to scale data ingestion, storage, and processing workloads
Partner with ML engineers to understand downstream model requirements and translate them into pipeline/platform design decisions
Instrument systems for observability and help harden a prototype into something that can run in production

Qualification

Some applied exposure to MLFluency with AI/agentic coding tooling

Required

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/ETL concepts and basic distributed systems tradeoffs (e.g. CAP theorem)
Experience with cloud platforms (AWS or GCP)
Some 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/scale-out requirements

Preferred

Experience with parallel execution / distributed processing frameworks (e.g. Spark, Ray, Dask)
Fluency with AI/agentic coding tooling
Prior internship or industry experience with production data infrastructure

Company

Aurora Operations Inc

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Source: ashby

Active within the past hour

Remote-friendly

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