Important note: Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. We encourage you to apply if you see a strong (not necessarily perfect) fit
Staff or principal-level experience in MLOps, data engineering, or ML platform/infrastructure
A track record of walking into complex, fast-grown systems, diagnosing the real problems, and materially improving them
Strong systems design ability: you can translate customer and product needs into durable, scalable architecture and communicate/write it down clearly
Genuinely hands-on: you are as comfortable in the codebase implementing the fix as you are in the design doc
Deep experience building and operating production data pipelines and ML workflows at scale
Fluency with the modern data and ML stack and the cloud infrastructure it runs on
(Desirable) Experience standing up MLOps practice (CI/CD ...