Data Warehouse for ML/AI
Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI.
Our distributed data engine Daft is open-sourced and runs on 800k CPU cores daily. This is more compute than Frontier, the world's largest supercomputer!
Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms.
Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads.
We are well funded by investors such as YCombinator, Caffeinated Capital, Array.vc and top angels in the valley from Databricks, Meta and Lyft.
Our team has deep expertise in high performance computing, big data technologies, cloud infrastructure and machine learning. Our team members have previously worked in top technology companies such as AnyScale, Tesla and Lyft.
We are looking for exceptional individuals with a passion for technology and a strong sense of intellectual curiosity.
If that sounds like you, please reach out even if you don't see a specific role listed that matches your skillsets - we'd love to chat!