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Member of Technical Staff, Reliability

Sieve - San Francisco | OnSite

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Relocation assistance
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Deadline
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Where they hire

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About this role

Member of Technical Staff, Reliability San Francisco | OnSite ABOUT US Sieve 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 the 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 12 people. We also raised our Series A earlier this year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. ABOUT THE ROLE We process petabytes of video across thousands of nodes and multiple cloud environments. As we scale, reliability, observability, and security become existential. We're hiring our first engineer fully dedicated to the infrastructure foundation of Sieve. This is a high-ownership role for someone who thinks deeply about: - throughput and system stability - monitoring and incident response - security and least-privilege design - reducing operational burden for the entire engineering team You'll work directly with our CTO and our founding engineers to build the core tooling that powers all of engineering. This role is for someone who spends their time thinking deeply about reliability, throughput, observability, and security. You're the kind of engineer who is always anticipating failure modes, eliminating operational

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