About the role
Uber is building a world class team that uses machine learning to deliver Uber's goal to make transportation as reliable as running water. You will join the team building machine learning models for the security platform supporting multiple Uber business lines (Rides, Eats, Social, U4B, etc) and multiple risk and security programs (Incentive Fraud, Account Security, Payment Risk, Privacy etc). Our team works together with product managers, engineers, and data analysts.
As a member of our team, you'll protect Uber's riders and drivers by bringing state of the art technology to bear on the world's richest dataset about how people move. You will experiment with a range of machine learning techniques including supervised, unsupervised and semi-supervised approaches, and tackle a variety of interesting and challenging problems including knowledge graph analysis, identity and reputation scores, mobile sensor and GPS feature development etc.
Our team applies a variety of learning algorithms such as CNN, LSTM, DBSCAN, tree-based models, neural networks, and other graph based techniques such as matrix decomposition, embedding, traversal and clustering etc. You will benefit from Uber's unique talent pool spanning several machine learning domains, including our advance research groups and the Uber AI labs (formerly Geometric Intelligence), applying and extending their research to our domain areas.