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
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.
Requirements
Strong computer science fundamentals, through a CS degree or equivalent practical experience
A scrappy software engineer who can write code, debug unfamiliar systems, and ship practical solutions quickly
Ideally a couple of years of software engineering experience, with evidence of building and shipping things independently. Exceptional recent graduates are welcome
Comfortable working across software, hardware, networking, and data uploads. You don't need to know every layer already, but you need to learn quickly and work through unfamiliar problems
Strong people skills. You can build trust with site partners, explain technical issues clearly, and train people with different levels of technical experience
Able to take an ambiguous goal, figure out what needs to happen, and follow through without a detailed playbook
An exceptionally fast pace of execution, with the judgment to verify that a deployment works reliably before moving on
Based in San Francisco and excited to spend 75%–85% of your time traveling globally to launch and support deployments
Bonus: Experience with cameras, embedded systems, Linux, networking, or large data transfers
Bonus: Experience hiring, onboarding, or leading a small technical team
Bonus: Experience launching projects internationally or working at an early-stage startup
Bonus: Can speak multiple languages
Benefits
401k + Full Health Insurance
Breakfast, Lunch, and Dinner covered and your choice of snacks
Ubers covered home