Join the team

You'll train, evaluate, and ship models that detect objects, people, scenes, and actions in video, and you'll own their accuracy and latency in production. We're looking for strong PyTorch experience and a track record of deploying vision models at scale.

You'll own our speech recognition, speaker identification, and audio classification pipeline, from model selection and fine-tuning through to production inference on real-world video. A background in audio ML or signal processing is essential.

You'll design and operate the pipeline that ingests, transcodes, indexes, and serves video at scale. We're looking for experience running distributed systems in production and a strong focus on throughput, reliability, and durability.

You'll own our customer-facing interfaces, from the embeddable video player to the search UI, in vanilla JavaScript, HTML, and CSS. Deep knowledge of the web platform matters more to us than any framework, and we care a lot about performance and polish.

You'll identify target markets, build pipeline, and close deals with technical buyers. You should be comfortable demoing a technical product and speaking credibly with engineers and product leaders about how it works.