Software Engineer Intern
Sieve
Software Engineer Intern
Sieve
Cloud platform for AI video/audio apps
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 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.
As a software engineering intern at Sieve, you’ll work across the stack to build and scale the data pipelines that create the datasets we deliver to customers. You’ll have ownership over projects end-to-end: from how data is sourced and curated, to developing ML filters, improving system efficiency, and building internal dashboards for QA and delivery. You’ll play a critical role in ensuring customers receive high-quality data on time, every time.
This role is ideal for someone who thrives on solving hard problems, enjoys working directly with customers pushing the frontier of Video AI, and wants to be challenged to achieve at the highest level.
Excellent communication skills, especially with customers and external teams
Able to context switch at a moment's notice
Bonus: Experience as an early hire at a startup
Bonus: Active GitHub or portfolio projects
In-person at our SF HQ
Breakfast, Lunch, and Dinner covered and your choice of snacks
Ubers covered home
Team Events and Offsites!
SieveData offers a cloud platform to build and deploy custom AI-powered video and audio features, providing ready-made models and the deployment infrastructure needed by product teams. Developers integrate capabilities via APIs to add functions such as automatic video cropping, translation, speech transcription, and noise removal, with each app including an auto-generated playground for testing and collaboration; the platform auto-scales with demand and uses a compute-based pricing model. It differentiates itself by pairing ready-to-use models with end-to-end infrastructure and a per-app playground, emphasizing ownership and straightforward collaboration. The goal is to help product teams quickly create, test, and deploy scalable AI video and audio features while maintaining cost visibility and control.
Explore more opportunities at Sieve