Member of Technical Staff - Data Ingestion & Quality

- Demonstrated experience building large-scale data pipelines, QA systems, or evaluation workflows (e.g. Spark, Ray, Beam)

- Detail-oriented in identifying subtle data inconsistencies and issues that could affect quality, with the ability to understand how quality impacts model performance

- Comfortable going deep on unfamiliar source material - reading format specifications, sensor documentation, and vendor manuals to get ingestion exactly right

- Experience working with external data vendors and partners, from technical evaluation to ongoing feedback

- Owns deliverables end-to-end, from collecting and translating requirements to autonomously driving execution