At Sieve, we’re building collaborative tools that enable software teams to ship video and audio AI products faster.

Over time, we plan to build tooling that every software team collaborates on as they build AI applications. Every person on a team from a developer, to a designer and a PM should be able to comfortably work together on prototyping, experimenting with, and deploying these applications to their users. We’re intentionally starting with a more focused market segment (video and audio platforms), and plan to expand from there.

A lot of our product philosophy came from the core insight that while there’s ton of open-source models out there and running them is messy / difficult, most teams don’t even know which models to use in the first place. Single models rarely solve entire problems and the real magic of ML comes from the extra logic and tinkering done to make something actually work. We felt this meant redesigning a collaborative experience from the ground up that includes:

• rock solid infrastructure that creates fast feedback loops for developers
• collaborative sharing and playground experiences that make it easy for PMs, engineers, and designers to work together
• highly modular ways to swap in and out heavy models without worrying weird dependencies, hard-to-understand code, etc.
• a set of high-quality out-of-the-box apps that solve customer use cases from the get go

Being a part of our early team, you’ll get the chance to shape:

• Our product direction
• Our engineering and sales processes
• Our culture & hiring

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