Role overview
Lead ML-driven traffic prediction systems powering Uber's global ETA accuracy (impacts millions of trips daily).
Build and deploy real-time machine learning models (DeepETT) for multi-modal traffic forecasting across 100+ cities.
Drive ~$50m+/year gross bookings impact through traffic prediction improvements.
What we're looking for
- ML experience in the maps domain.
- Experience with realtime data processing using Flink
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Deep Learning Pytorch Ai