Responsibilities

• Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
• Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected.
• Build high‑reliability systems for extracting and labeling the interesting data with various vendors and integrate it back into our system.
• Work with both internal and third‑party stakeholders to define taxonomy, validation rules and success criteria for our labeling projects.
• Design and manage the end‑to‑end deployment of data solutions to deliver high‑quality labeled data for various ML teams to use in experiments and model improvement.
• Deploy open‑set/embedding models to our production environment—empowering new search and curation modalities.
• Champion engineering excellence, ensuring high‑...