Sieve · 5 months ago
Distributed Systems Engineer
Sieve is an AI research lab focused on video data, aiming to provide high-quality training data for advanced applications. The role involves designing and engineering systems for efficient handling of ML and ETL pipelines, ensuring reliability and cost-effectiveness in processing large video datasets.
Artificial Intelligence (AI)Cloud InfrastructureDeveloper APIsMachine LearningSoftwareVideo
Responsibilities
Design and engineer systems that handle the compute, scheduling, and orchestration of complex ML + ETL pipelines that need to run quickly, reliably, and cost-effectively on large sums of video
Qualification
Required
3+ years of experience building foundational data infrastructure
Proficient in working across diverse cloud architectures
Designed and maintained pipelines that process petabytes of data
Developed robust CI/CD pipelines tailored for ML-focused teams
Strong coding experience with Go and Python; Experience with Rust is a plus
Operates as an IC who leads by example
Experience with large-scale video data systems
In-person at our SF HQ
Company
Sieve
Sieve supplies video data to frontier AI labs.
Funding
Current Stage
Early StageTotal Funding
$4.12MKey Investors
Matrix
2022-11-14Seed· $4M
2022-03-29Pre Seed· $0.12M
Recent News
2025-01-20
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2025-01-07
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