USD per year
Member of Technical Staff
Location
San Francisco
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation
- $150K – $350K • Offers Equity
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 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 software engineer 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.
Requirements
- Strong Python developer, experience in Go or Typescript also welcome
- Excellent communication skills, especially with customers and external teams
- Writes clean, maintainable code
- 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
Benefits
- 401k + Full Health Insurance
- Breakfast, Lunch, and Dinner covered and your choice of snacks
- Ubers covered home
The multimodal data lab providing high-quality video, audio, image, and interaction data for frontier AI. They offer hundreds of petabytes of curated multimodal data including high quality video, editing pairs, and audio-visual data. Trusted by leading AI labs, Fortune 100 companies, and fast-growing AI startups. They capture, filter, index, annotate, and deliver training-ready datasets and environments with compliance and secure delivery.
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