1 year ago
Base Salary
$150k - $300k/yr
Responsibilities
- Build and scale data pipelines that create customer datasets
- Own projects end to end, including data sourcing and curation
- Develop ML filters
- Improve system efficiency
- Build internal dashboards for quality assurance and delivery
- Help ensure customers receive high-quality data on time
- Work directly with customers advancing Video AI
Requirements
- Strong Python development skills
- Experience with Go or TypeScript is welcome
- Excellent communication skills, particularly with customers and external teams
- Ability to write clean, maintainable code
- Ability to context switch quickly
- Experience as an early startup hire is a bonus
- An active GitHub profile or portfolio projects is a bonus
- Ability to work in person at the San Francisco headquarters
Benefits
- 401(k) and full health insurance
- Breakfast, lunch, dinner, and snacks provided
- Ubers home covered
- In-person work at the San Francisco headquarters
Tech Stack
Categories
Data Engineering
About Sieve
Sieve builds datasets and infrastructure for training video AI models, combining large-scale video processing with novel video understanding techniques. Its tools support ML teams working on media, gaming, AR/VR, and robotics by supplying high-quality video training data and pipelines. Founded in 2016 and headquartered in Palo Alto, the company operates as a privately held AI lab focused exclusively on video data.