{"schemaVersion":"jobsearcher.job.v1","id":"5443d09ee68e61f0708e8ecb","url":"https://jobsearcher.com/jobs/5443d09ee68e61f0708e8ecb","canonicalUrl":"https://jobsearcher.com/jobs/5443d09ee68e61f0708e8ecb","title":"Distributed Systems Engineer","description":"About UsSieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data.We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About The RoleAs a distributed systems engineer at Sieve, you’ll 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.You’re likely a good fit if you love optimizing for system uptime, have worked with cloud technologies, optimizing hyper-fast distributed systems at the scale of thousands of GPUs, and building great internal tooling and CI/CD for rapid iteration.Requirements3+ 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 Benefits401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home","company":"Sieve","rawCompany":"sieve","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T17:09:45.414Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Distributed Systems Engineer","description":"About UsSieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data.We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About The RoleAs a distributed systems engineer at Sieve, you’ll 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.You’re likely a good fit if you love optimizing for system uptime, have worked with cloud technologies, optimizing hyper-fast distributed systems at the scale of thousands of GPUs, and building great internal tooling and CI/CD for rapid iteration.Requirements3+ 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 Benefits401k + Full Health Insurance Breakfast, Lunch, and Dinner covered and your choice of snacks Ubers covered home","datePosted":"2026-04-12T17:09:45.414Z","dateModified":"2026-04-12T17:09:45.414Z","hiringOrganization":{"@type":"Organization","name":"Sieve","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5443d09ee68e61f0708e8ecb"},"url":"https://jobsearcher.com/jobs/5443d09ee68e61f0708e8ecb"}}