HubMub
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Uber

Machine Learning Engineer - Maps

Uber
Netherlands · Full-time · Entry
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

  • 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

Key Skills

Ranked by relevance

deep learning machine learning pytorch spark
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Country Guide

Netherlands

30% Tax Ruling for expats

Posted
Feb 12, 2026
Type
Full-time
Level
Entry
Location
Amsterdam
Company
Uber

Industries

Internet Marketplace Platforms

Categories

Engineering Information Technology

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