sieve
Deployment Engineer
- San Francisco
- Full-time
- $150K - $225K
- Posted
Skills
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 https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/.
WHY NOW
Building the next generation of AI requires capturing data from the real world. We're expanding our hardware deployments across countries and need engineers who can get on the ground, figure things out, and make new sites work. You'll join early, own problems end-to-end, and help build the technical foundation for our international operations.
ABOUT THE ROLE
As a Deployment Engineer at Sieve, you'll travel globally to launch and scale our hardware and data collection operations. You'll own the technical work of getting each site running, from setting up camera rigs and local infrastructure to making sure data is captured correctly and reliably uploaded.
This role is based in San Francisco and requires spending 75%–85% of your time traveling globally, working on-site across different countries.
This is a hands-on software engineering role with significant time in the field. You might spend one day debugging an upload pipeline, the next setting up hardware at a new site, and the next training a local engineer. You'll work closely with site partners, our engineering team, and local operators to solve problems quickly and keep deployments running smoothly.
As we enter new countries, you'll help build the local technical team: identifying and interviewing candidates, onboarding engineers, and giving them the tools and training to run deployments independently. You'll turn what you learn in the field into better software, deployment tools, and repeatable processes that make each launch faster. You may also pitch in on local operations when needed to get a site up and running.