Sieve is a specialized cloud built for video / audio AI.

Every video product today is being overwhelmed by a ton of new use cases that are enabled by AI. Video is unique in that it’s much more compute and data-intensive to process or generate compared to other modalities. This leads to a ton of complexity around the ways models are run, the kinds of extra processing needed to happen around them, and the complexity of pipelines that solve the most valuable use cases in the modality. To this end, Sieve’s strongest and most immediate value proposition comes from being an AI toolkit that solves problems unique to video — unlike generic AI developer tools that might exist today.

Video is just the start however. Learn more about our long term vision here!

Sieve’s product comes with a lot of pre-built, production-ready apps available out of the box. You’ll explore ways to combine new models to solve popular use cases, and make them work at high quality bars and quick speeds. It’s a combination of implementing models, optimizing them, and having intuition for the right ways to combine them.

Some good qualities to have include:

• An interest in keeping up to date with the models coming out everyday
• Experience optimizing models to run faster
• No need for a PhD but experience having built cool projects with ML models
• Love being in CUDA hell. Just kidding, but experience in dealing with NVIDIA drivers and CUDA.

Check out this page to learn more about the company and what it's like to work with us!

https://sievedata.com/about/jobs

As an early engineer, you’ll get to:

• work on low level containerization, networking, and distributed systems problems impacting thousands of GPU workloads at any given moment
• write and deploy code that touches users every single day
• work with the latest generative models
• make decisions on product experience and design
• interact directly with customers in calls, shared Slack channels, etc.

We primarily code in Go, Python, and Rust. Additionally, we heavily utilize Redis, Prometheus, Loki, Grafana, MongoDB, Pulumi, and Clickhouse. Our frontend is build with Next.js.