About the job
Sieve is an AI research lab based in San Francisco, focused on large-scale video data. The team builds and maintains infrastructure capable of handling exabyte-scale video, while developing advanced methods for video understanding. Sieve also curates extensive and diverse datasets to support new approaches in video modeling. With video now accounting for a significant portion of internet traffic, the company aims to remove barriers to high-quality training data for fields like creativity, communication, gaming, AR/VR, and robotics.
The company recently completed its Series A and is backed by investors including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Sieve has worked with leading AI labs and continues to grow, generating $XXM last quarter with a small team of 15.
Role overview
The Software Engineering Intern at Sieve works across the stack to help build and scale data pipelines that deliver video datasets to clients. This role involves taking full ownership of projects, from sourcing and curating video data to developing machine learning filters, improving system efficiency, and building internal dashboards for quality assurance and delivery. The work directly impacts the timely delivery of high-quality data to customers.
What you will do
- Build and scale data pipelines for delivering video datasets
- Source and curate video data for a range of applications
- Develop and refine machine learning filters to enhance data quality
- Improve system efficiency and reliability
- Create internal dashboards for quality assurance and delivery tracking
Who thrives here
This internship is well suited to those who enjoy solving complex technical problems, want to collaborate directly with customers at the forefront of Video AI, and seek meaningful challenges in a high-performance setting.

