Machine Learning Engineer - Maps

This role is based in Amsterdam, Netherlands.

Responsibilities:

Lead ML-driven traffic prediction systems powering Uber's global ETA accuracy.

Design and train Deep Learning models for traffic prediction.

Build Spark/Flink data pipelines for model training and real-time serving.

Deploy and monitor ML models in production and A/B test model improvements.

Collaborate with teams on ML-driven projects.

Basic Qualifications:

• Experience with Deep Learning modeling using tools like PyTorch.
• Comfortable with processing large-scale data with Spark.
• Can own training and serving pipelines for ML models.
• Commercial awareness regarding business outcomes and ML metrics.

Preferred Qualifications:

• ML experience in the maps domain.
• Experience with real-time data processing using Flink.