Software Engineer - Infrastructure

Come and change the world of AI with the Kumo team!

Companies spend millions of dollars each year to store terabytes (and increasingly more!) of enterprise data. However, although they are able to use this data effectively for historic analytics today, they’re typically only able to leverage a fraction of it for predictive tasks, because of how difficult and time-consuming it is to set up production ML workflows. At Kumo, we are building the first data platform to seamlessly allow machine learning over data warehouses for faster, simpler, and smarter predictions. Query the future with Kumo.

In this role, you will help us design and build the core of our system working alongside seasoned engineering leaders with decades of experience and some of the best researchers from Stanford and other top universities. We are adapting and inventing cutting edge ML techniques to fit well with learning over data warehouses. The technical challenge here is to create scalable storage and compute systems that will fit well with both the data warehouse and the ML training and inference systems and provide for scalability, reliability, restart and security of cloud-first applications. The final product will follow a customer first approach and be extremely easy to use from both ML and cloud deployment.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.