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!

About Us

Sieve is a video intelligence company. Video makes up 80% of internet traffic and has become the core component to some of the most consequential industries in the world. Its impact is only accelerating due to AI — think AI-native creative & filmmaking tools, new social & communication mediums, robot systems, open-world video games, and AR/VR glasses.

We build novel video understanding systems with a level of quality and efficiency that empowers developers and enables us to partner with leading video AI model labs to collect, curate, and annotate the highest quality video datasets in the world at internet-scale.

We’ve scaled to millions in recurring revenue as a relatively small team of 11 people, growing 25% month over month. We’re a Series A company and have raised from top-tier firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Our customers include many of the leading AI video labs you probably have used or know by name.

About the Role

As a growth engineer at Sieve, your goal will be to think & execute on creative ways to get more developers and researchers talking about Sieve. Often this involves working on fun and useful projects using Sieve APIs and building accompanying content around them. You’re likely a good fit if you’ve enjoy building personal AI projects, sharing your work publicly, and interacting with other developers.

Requirements

• Full-stack engineer who has shipped interesting open-source projects

• Strong viral sense and a bias toward rapid development

• Highly organized and communicates progress clearly to teammates

• Proven track record—strong GitHub history or standout personal projects

• In-person at our SF HQ or NYC office

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.