Sieve needs to build and scale data pipelines to create high-quality video datasets for customers, addressing the bottleneck of data availability for the growth of video-centric AI applications.
Requirements
- Strong Python developer
- experience in Go or Typescript also welcome
- Writes clean, maintainable code
Responsibilities
- work across the stack to build and scale the data pipelines that create the datasets we deliver to customers
- have ownership over projects end-to-end: from how data is sourced and curated
- developing ML filters
- improving system efficiency
- building internal dashboards for QA and delivery
- play a critical role in ensuring customers receive high-quality data on time, every time
Other
- Excellent communication skills, especially with customers and external teams
- Motivated by hard problems that require a 9-9-6 schedule
- 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
