Sieve is the cloud for video & audio AI. Leading product teams use Sieve's APIs, tools, and infrastructure to ship AI-powered capabilities faster, together.
Sieve is the cloud for video & audio AI. Leading product teams use Sieve's APIs, tools, and infrastructure to ship AI-powered capabilities faster, together.
Sector: Video AI infrastructure & datasets
Product: APIs, tools, and infrastructure for video understanding, editing, search, and moderation
Founders: Mokshith Voodarla (CEO), Abhinav Ayalur (CTO)
Headcount: ~15 employees
Notable investors: Matrix Partners, Y Combinator, Swift Ventures, others
Making video data tractable for AI workflows (dataset provision, preprocessing, moderation, and model-ready video tooling).
Software Development
Crunchbase lists most recent round as Seed with Matrix Partners noted as lead
“Backed by a mix of institutional and notable angel investors including Y Combinator, Matrix Partners, Swift Ventures, Ilya Sukhar, AI Grant, Nat Friedman, Daniel Gross”
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About Us Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data.
We’ve partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
About The Role As a Product Engineer at Sieve, you'll build our video collection platform: a system that pays contributors for submitting video recordings.
You'll work full-stack across frontend, backend, systems, and mobile to ship products quickly, improve reliability, and scale the platform in supporting millions of users. You'll also build internal tools that help the team source, review, and deliver high-quality data efficiently. You'll own projects end-to-end.
This role is ideal for someone who enjoys building products with tight feedback loops, thrives in a high-ownership environment, and wants to work directly on the core engine powering frontier video AI.
What You’ll Do
Requirements
Bonus
Location
In-person at our SF HQ.