About Us Video is becoming the dominant digital medium of our time, making up 82% of internet traffic and powering applications in media, communications, VR, gaming, and robotics. Sieve is building a suite of developer tools to understand, edit, and search video — an in turn is powering a variety of applications across these industries.

We’re a small team based out of San Francisco and New York. In the last few months, we doubled our revenue, signed multiple 7-figure customers, scaled to thousands of GPUs, and closed a Series A from some of the best investors in the valley. Working at Sieve means joining a fast-growing AI infrastructure company, with many opportunities to grow alongside it. Our team brings together a diverse set of backgrounds from academic PhDs to quant engineers and self-taught tinkerers.

About The Role As a systems engineer at Sieve, you’ll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML pipelines that need to run quickly, reliably, and cost-effectively on large sums of video. You’re likely a good fit if you love optimizing for system uptime, optimizing hyper-fast distributed systems at the scale of thousands of GPUs, and building great internal tooling and CI/CD for rapid iteration.