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.
Open Positions at Sieve
5 open positions
Build end-to-end machine learning systems for high-quality multimodal datasets and customer-facing video understanding. You will fine-tune foundation models, create evaluation and QA pipelines, and ship production improvements directly to frontier AI labs.
Build custom algorithms, models, and production pipelines that help frontier AI labs create and evaluate high-quality video datasets. This customer-facing, forward-deployed role combines machine learning engineering, research prototyping, and fast delivery of reliable systems.
Build Sieve's full-stack video collection platform, including web, backend, systems, mobile capture, and internal tooling. You'll own projects end-to-end and help power the training data infrastructure behind frontier video AI.
Build and scale the data pipelines, ML filters, and internal tools behind high-quality video datasets for leading AI labs. This end-to-end software engineering role combines broad technical ownership with direct customer collaboration in Sieve’s San Francisco office.
Build high-performance distributed systems that orchestrate ML and ETL pipelines across petabytes of video data. This individual contributor role emphasizes cloud infrastructure, reliability, large-scale GPU systems, and Go and Python development.