Activeloop is building Deep Lake, the vector database for all AI data. 🚀 With Deep Lake, (https://github.com/activeloopai/deeplake; 6K+ stars on GitHub), teams can store complex data, such as images, audio, videos, annotations, & tabular data, in a AI-native format and stream them to Foundational Models real-time. The team is globally distributed but primarily looking to hire in the US right now. The team behind is from Princeton, Stanford, Google, and Tesla and is backed by Y Combinator. We have recently raised a $5M seed round.
We're looking for additional great talent to execute our vision. Click here to see all available positions.
Users love and build with Activeloop (in production with Fortune 500 companies and major research universities such as Yale, Mila Quebec, and Oxford). They also create cool stuff like this, so we need YOU to enable them to ship products that make a difference (and stand out from the crowd in the current AI gold rush). Here is a community example
We're growing. Fast! Select open-source metrics for Activeloop Deep Lake.
Go to market partners with Intel (member of highly selective Intel Disruptor Program) & AWS (AWS partner network, AWS marketplace, etc.). We even had a banner on 101N!
We raised our seed in November 2021, backed by Y Combinator.
If you are interested in any of these positions, please send us an email at hello@activeloop.ai with a LinkedIn profile or a CV. If you didn't find anything that suits your preferred role, please still shoot us a message (note that we're currently hiring only developers).