Senior ML/Data Engineer

You will own the data infrastructure that every AI agent on the platform reasons over. That means designing and building the systems that ingest, store, and serve athlete performance data at scale — from real-time sensor streams to longitudinal historical records — and ensuring every layer is governed, isolated per client, and trustworthy at the moment of a high-stakes decision. You will build the feature store that makes derived metrics available to agents in milliseconds, design the sport know

5+ years of production data engineering at scale, time-series databases, data lakes, feature stores in a real-time or near-real-time environment. Experience building probabilistic evaluation frameworks or model calibration infrastructure, you understand the difference between a model that works and a model that is trustworthy. Strong Python, Golang and SQL; experience with streaming ingestion (not batch-only) for live sensor or IoT data. Graph database experience: you have designed schemas for