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Waymo is looking to improve its autonomous driving technology by building and operating a data infrastructure that powers its perception foundation models, to improve access to mobility while saving thousands of lives now lost to traffic crashes.

Requirements

• C++ programming skills (required), with Python experience
• 5+ years of experience with large-scale data systems (e.g., Spark, Beam, or Dataflow), or PhD and 3+ years
• Background in ML data engineering, data curation, or active learning
• Experience building and maintaining end-to-end ML data pipelines
• Experience with vector search (Faiss, ScaNN) or RAG systems
• Knowledge of ML infra for foundation model training and evaluation
• Familiarity with data-centric AI (few-shot, fine-tuning, pre-training)

Responsibilities

• Design and improve large-scale data pipelines that serve ML and research teams
• Deploy and maintain data flows for reliable, high-quality dataset delivery
• Apply ML techniques (e.g., embeddings, active learning) for data search and curation
• Build tools for scalable data mining and offboard inference
• Work to accelerate new model deployment across cities and platforms

Other

• Collaboration skills with model, infra, and product teams
• MS/PhD or published work in ML or large-scale data systems
• Background in autonomous systems or robotics
• 5+ years of experience
• PhD and 3+ years of experience