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 backend involves complex infrastructure working to deliver a simple, seamless experience for the customer. You will spend your time improving the both the reliability and speed of our system, directly impacting the quality of life for our customers.

We primarily code in Go, Python, and Rust, on top of Kubernetes. Additionally, we heavily utilize Redis, Prometheus, Loki, Grafana, MongoDB, Pulumi, and Clickhouse. Familiarity with these is not required, but certainly encouraged. Some indicators of a good fit for this role include:

• Interest in challenging infrastructure problems
• Can intuitively prioritize feature development based on product impact
• Great communication skills
• Prior experience building production or open-source infra projects

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.