Sieve
Member of Technical Staff, Reliability
San Francisco · Staff+
Sponsorship not specifiedDetected 167 days ago
PythonGoRustC++SwiftSvelteGitAWSGCPCloud PlatformsTerraformHelmCI/CDPrometheusIncident ResponseAR/VRCommunication
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.
- If something goes down, you take it personally, and you thrive in that level of responsibility.
Responsibilities
- 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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/.
- You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.
- 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.
- Experience building lightweight internal tooling (APIs, dashboards, Svelte)
Requirements
- Familiarity with Argo, Helm, Kustomize, or similar deployment tools
- Experience operating observability systems (Prometheus, OTel, VictoriaMetrics)
Nice to have
- Familiarity with object storage systems ("buckets")
- Active GitHub or portfolio projects
- Experience on-call for Sev 0 / Sev 1 production incidents (L3 preferred)
- Deep Infrastructure-as-Code experience (Terraform preferred)
Benefits
- 401k + Full Health Insurance
Company info
- 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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/.
- 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.
- 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.
- 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.
This listing is sourced directly from Sieve's careers page and normalized into a canonical job model.