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 risk, and designing systems that don’t break.
If something goes down, you take it personally, and you thrive in that level of responsibility.
What You’ll Do
Work with engineering to design and validate the infrastructure powering PB-scale workloads
Build and maintain Terraform-managed multi-cloud deployments
Improve cloud and data security (SSO, IAM, least privilege, auditability)
Own incident response and harden systems against failure
Develop CI/CD systems that minimize user error and maximize safety
Build monitoring + alerting platforms (Prometheus, OpenTelemetry, VictoriaMetrics)
Wrap internal reliability tooling with simple UIs for engineers
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
High ownership mindset over critical systems
Bonus
Experience building lightweight internal tooling (APIs, dashboards, Svelte)
Familiarity with object storage systems (“buckets”)
Active GitHub or portfolio projects
Location
In-person at our SF HQ.
Top Skills
What We Do
Sieve is the only AI research lab exclusively focused on video data.
Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in.
We bring together exabyte-scale video infrastructure, novel video understanding techniques, and dozens of diverse data sources to create datasets that push the frontier of video modeling. This unique combination allows us to deliver data with unmatched precision, quality, and speed which has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups.
