Found Description
Requirements
- 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 ...