The all-in-one platform for modern data workloads across data engineering, machine learning and analytics.
Modern data workloads incorporate diverse modalities stored in various formats and systems. Eventual simplifies this with a Python-native platform that integrates seamlessly with existing tools, supports scalable data processing, and interoperates with diverse data types.
OUR OPEN SOURCE ENGINE
OUR TEAM
Eventual is built by experts in distributed data systems, machine learning, and high performance computing.
Sammy Sidhu
High performance computing, prev. CTO @ DeepScale
Jay Chia
Cloud data systems for ML @ Freenome/Lyft
Clark Zinzow
Distributed data systems, built Ray Data @ AnyScale
Kevin Wang
Quant research @ Arrowstreet/Akuna
Colin Ho
Data systems @ Stripe/Coinbase
Join us today.
We’re a fun loving team that’s passionate about building awesome systems. Come join us in our office in San Francisco!
See Open Roles