Distributed Systems Engineer
San FranciscoFull-timePosted 11mo ago
About the role
Design and engineer systems for handling compute, scheduling, and orchestration of complex ML + ETL pipelines on large video data to optimize system uptime, reliability, and cost-efficiency.
Responsibilities
- Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines.
- Optimize for system uptime, reliability, and cost-effectiveness.
- Work with cloud technologies to build robust data infrastructure.
Qualifications
- 3+ years of experience building foundational data infrastructure.
- Proficient in working across diverse cloud architectures.
- Designed and maintained pipelines processing petabytes of data.
- Developed robust CI/CD pipelines for ML teams.
- Strong coding experience with Go and Python; experience with Rust is a plus.
- Experience with large-scale video data systems.
- Operates as an individual contributor who leads by example.
- In-person at SF HQ.
Skills
Required:System DesignCloud ArchitectureGoPython
Nice to have:Rust
Last updated Dec 7, 2025. Interested? Apply on the company site.
About Sieve
Video datasets for frontier AI
High quality video data for AI applications.
Video GenerationHuman AvatarsWorld Models
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