Role overview
- Design and train Deep Learning models for traffic prediction
- Build Spark/Flink data pipelines for model training and real-time serving across 100+ cities
- Deploy and monitor ML models in production and A/B test model improvements
- 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
Used for matching and alerts on DevFound Fulltime Machine Learning Deep Learning Pytorch Ai