Machine Learning Engineer - Maps
Actively Hiring
Full-time $100k Posted 6 months ago
Role overview
- check_circle Design and train Deep Learning models for traffic prediction
- check_circle Build Spark/Flink data pipelines for model training and real-time serving across 100+ cities
- check_circle Deploy and monitor ML models in production and A/B test model improvements
- check_circle Collaborate with partnering teams (Routing, Fares, AV) on ML-driven projects
Basic qualifications
- ML modeling expertise: Experience with Deep Learning modeling using tools like PyTorch
- Large-scale data systems: Comfortable with processing 100s of terrabytes of data with Spark
- Production-level ML: Can own training and serving pipelines for ML models that process 100k+ requests per second.
- Commercial awareness: Can reason about business outcomes and their relationships with ML metrics.
Preferred qualifications
- ML experience in the maps domain.
- Experience with realtime data processing using Flink
Tags & Focus Areas
Fulltime Machine Learning Deep Learning Pytorch Ai
About Uber
About the role: Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber. About the Team: Founded in August 2014, Uber Eats has become the largest food delivery app globally, and is the fastest growing food delivery platform in the world. We have doubled our gross bookings in just over the last year! Our team's work at Uber Eats directly impac...