Sieve

Member of Technical Staff, Reliability at Sieve (San Francisco, CA)

Sieve· San Francisco, CA·

Role details

Work type
Onsite
Employment
Full-Time

Job description

About Us

Sieve is a multi-modal lab curating the world's highest-quality training datasets — spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling 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 partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.

Why Now

Sieve is one of the most capital-efficient teams in AI — roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.

About the Role

We process petabytes of video across thousands of nodes and multiple cloud environments, and as we scale, reliability, observability, and security become existential. We're hiring our first engineer fully dedicated to Sieve's infrastructure foundation — a high-ownership role working directly with our CTO and founding engineers to build the core tooling that powers all of engineering. You'll design and validate the infrastructure behind PB-scale workloads, own incident response, harden systems against failure, and build the monitoring, security, and CI/CD tooling the whole team relies on. This role is ideal for someone who thinks deeply about reliability, throughput, observability, and security — the kind of engineer who anticipates failure modes, eliminates operational risk, and designs systems that don't break. If something goes down, you take it personally, and you thrive in that level of responsibility.

Requirements

  • 3+ years building internal infrastructure at scale
  • Experience on-call for Sev 0 / Sev 1 production incidents (L3 preferred)
  • Strong cloud experience (GCP, AWS, Oracle, Cloudflare, etc.)
  • Deep Infrastructure-as-Code experience (Terraform preferred)
  • Familiarity with Argo, Helm, Kustomize, or similar deployment tools
  • Experience operating observability systems (Prometheus, OTel, VictoriaMetrics)
  • Backend fundamentals in Python, Go, Rust, or C++
  • Strong networking + security intuition, including SSO implementation
  • In-person at our SF HQ
  • Bonus: Experience building lightweight internal tooling (APIs, dashboards, Svelte)
  • Bonus: Familiarity with object storage systems ("buckets")
  • Bonus: Active GitHub or portfolio projects

Benefits

  • 401k + Full Health Insurance
  • Breakfast, Lunch, and Dinner covered and your choice of snacks
  • Ubers covered home

*all roles at Sieve require you to be onsite in San Francisco 5 days per week

Why work at Sieve

  • Culture: The company describes itself as "tight-knit, fast-moving, and deeply customer-oriented." It is a "research lab to the core," combining frontier research with infrastructure and customer partnership. [sieve.ai/about]
  • Team: The team brings together experience from NVIDIA, Scale AI, Zoox, and Niantic, providing exposure to top-tier expertise in AI and infrastructure. [sieve.ai/about]
  • Impact: Employees will be working on the critical layer of data for the next generation of AI models (generative media, robotics, agents), offering a rare position at the forefront of AI research. [ycombinator.com]
  • Remote/Hybrid/Office: The company is based in San Francisco, CA.
  • Open Roles: As of mid-2026, they are actively hiring for Applied Research Engineer, Distributed Systems Engineer, Product Engineer, and Software Engineer, with salary ranges listed as $150K - $300K depending on role and experience. [jobs.ashbyhq.com, ycombinator.com]

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