Senior Infrastructure Engineer, ML Data Pipelines (SF Onsite)
Sieve, Inc.
Sieve, Inc. is seeking an infrastructure engineer to design and scale ML/ETL data pipelines, running on distributed cloud infrastructure in San Francisco. You will optimize uptime, build internal tooling and CI/CD for ML teams, and work with Go, Python, and Rust. The role involves handling petabyte-scale data processing with a focus on reliability and cost-efficiency. This position is onsite at our SF HQ, five days per week. #J-18808-Ljbffr Sieve, Inc.
Vacancy posted 1 day ago
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