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.