Streaming technologies are changing the data landscape and every application that produces and consumes data. Yet, most machine learning models, whose performance is tightly coupled with data quality and data freshness, are still in the batch paradigm.

Claypot unifies streaming and batch systems to make it easier and cheaper for companies to do online prediction, continuous evaluation, and continual learning. Our solution can be especially helpful for problems in fast changing environments such as recommender systems, e-commerce, fintech, and logistics.

Claypot AI was founded byZhenzhong XuandChip Huyen. We’re well-funded and working with cool companies!

For more discussion on the problem we’re tackling, seeMachine learning is going real-timeandThe Four Innovation Phases of Netflix’s Trillions Scale Real-time Data Infrastructure.

We’re looking for great machine learning engineers and data scientists to be the foundation of our engineering team. We hireremotely anywhere in the world,as long as you can be available 8.30am – 12pm (PT) for synchronous communication. We plan to bring everyone together a few times a year to hang out and eat tasty food when it’s safe to travel 🛫

The job descriptions below are to give a sense of the challenges we’re working on. As the company grows, you can define the role that you want with us.We believe in creating an environment for people to grow into their full potential and create the most impact for the team, not squeezing people to fit into job descriptions.

If you’re interested in joining us but don’t find a job description that fits you, reach out still!