Distributed Systems Engineer, Data & Inference Platform

THE ROLE You'll build and operate the systems that turn raw compute into useful intelligence — the inference services that serve LLMs at scale and the data pipelines that feed them. One week you're hunting a tail-latency regression in a production inference service handling millions of requests; the next you're redesigning a Ray Data pipeline so it stops melting down at petabyte scale. The work spans architecture, implementation, and the on-call pager that keeps you honest about both. Researchers and ML engineers will hand you workloads that barely run; you'll hand them back systems that run reliably, efficiently, and cheaply enough to matter. RESPONSIBILITIES…