Sieve-posted 4 months ago
Full-time • Entry Level
San Francisco, CA

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.

  • Build and scale data pipelines for dataset creation
  • Own projects end-to-end from data sourcing to delivery
  • Develop ML filters and improve system efficiency
  • Build internal dashboards for QA and delivery
  • Ensure high-quality data is delivered to customers on time
  • Strong Python developer
  • Experience in Go or Typescript is welcome
  • Excellent communication skills, especially with customers and external teams
  • Motivated by hard problems that require working late nights and weekends
  • Writes clean, maintainable code
  • Able to context switch at a moment's notice
  • Experience as an early hire at a startup
  • Active GitHub or portfolio projects
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service