fal - Features & Labels, Inc.
fal (Features & Labels) simplifies data & ML infrastructure for Fintech companies’ Payments Risk and Machine Learning operations. In Phase I, we are building a feature store to accelerate real-time ML model development. In the future, we will be adding to our tooling lineup a clustering engine and a rules engine that you can deploy in your existing cloud setup with minimal integration costs. Our products are designed to accelerate the collaboration and output of Fraud Ops, Data Science and Machine Learning teams by eliminating complex data infrastructure. Our vision is to become the standard ML infrastructure across the Fintech startup ecosystem.
About the Founder: Burkay Gur (MIT ’12) was one of the founding members of the Coinbase Data team, starting as a software engineer and moving onto managing the ML modeling and ML Platform teams. The ML team at Coinbase was instrumental in scaling the product, accounting for top-line growth metrics through ML-driven risk management.
Data Engineer East Bay, CA, United States, Los Angeles, CA, United States, New York, NY, United States, San Francisco, CA, United States, Seattle, WA, United States, Silicon Valley, CA, United States, or Remote
Why join us?
We are helping in-house data science teams of the best technology companies. Why work in one of them while you can build tools that all of them use?
We are well-funded and growing fast. We are currently looking for engineers #3-4-5.
Our team has previously worked at Coinbase, Amazon, Oracle, University of Vienna.
Engineering at fal - Features & Labels, Inc.
Our engineering culture is still being formed. Come help us shape it!
We are building generalized tooling to address many problems that are faced in productionizing Machine Learning models. Generalizing these systems are hard, but very rewarding.
Build a platform where data scientists can create streaming data processing pipelines with ease.
Build a data monitoring platform for Machine Learning model predictions.
Bonus: Build a backtesting platform for ML models leveraging the latest tech in Causal ML and Reinforcement learning.
Working at fal - Features & Labels, Inc.
We are still forming it! Come help us define it.
As part of our commitment to an inclusive workplace, we are happy to offer prospective engineers the chance to connect with our engineering employees who come from underrepresented backgrounds. It’s a way to get a better sense of our team and what it might be like to work with us.
If you’re interested in connecting with our team, be sure to bring this up during one of our introductory calls!
Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.