Staff Infra Engineer, ML Data Pipelines & GPUs
Sieve
Sieve, a multi-modal lab, seeks an infrastructure engineer to design and run ML data pipelines and ETL systems at scale in San Francisco. You will focus on uptime, reliability, and cost efficiency while handling thousands of GPUs and complex workflows. You’ll work with cloud architectures, build fast distributed systems, and create internal tooling and CI/CD for rapid iteration. This is an onsite role at our SF HQ. #J-18808-Ljbffr Sieve
Vacancy posted 5 days ago
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