U
Ubervia Indeed
Machine Learning Engineer - Maps
Amsterdam, NH, NLPosted 4mo ago
ML EngineerMid LevelFull-time#pytorch#spark
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Machine Learning Engineer - Maps at Uber. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
About the Role
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 the Candidate Will Do
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 the Candidate Will Do
- 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
- 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.
- ML experience in the maps domain.
- Experience with realtime data processing using Flink
Ready to apply?
This job is active. Apply now to get in early.