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 an applied research engineer at Sieve, you’ll work with some of the latest VLMs and generative models to build systems for a variety of video understanding, editing, and search use cases. Often this involves working on ambiguous research problems and finding clever techniques to solve them. You’re likely a good fit if you’re comfortable working with models and squeezing every drop of performance out of them through clever pre/post-processing, pipelining, inference optimization, and fine-tuning.