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
About Sieve
Sieve builds the data and environments frontier AI labs use to train the next generation of multimodal systems. AI is moving beyond chatbots into video, audio, images, software, robotics, and interactive worlds. The next generation of models will need to understand how the world looks, sounds, moves, responds, and changes over time. Progress is bottlenecked by one thing: high-quality data. Sieve brings together exabyte-scale infrastructure, novel multimodal understanding techniques, large-scale sourcing, and deep research partnerships to create datasets and environments with unmatched precision, quality, and speed. This has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing AI startups working on generative media, robotics, computer use, world models, and agentic systems.