Uber Senior Machine Learning Engineer - Maps 

United States, West Virginia 

631598920

About the role

Uber’s Maps Places team stitches together noisy signals from dozens of data providers to keep our global points-of-interest map fresh and correct. You will:

• Match the same real-world place even when names, addresses, or coordinates conflict.
• Improve each place’s location, category, and attributes with trip, imagery, and feed data.
• Spot and publish brand-new venues so riders and drivers can find them on day one.

What you will do

• Turn coverage, precision, and freshness targets into concrete ML problems.
• Own the full stack: data pipelines, model training, evaluation, A/B tests, rollout, and monitoring.
• Design inference services that scale to millions of daily place updates.
• Partner with backend, data, product, and operations teams to ship end-to-end features.
• Mentor engineers and help shape the ML charter for Maps Places Amsterdam.

Basic qualifications

• PhD or equivalent in CS, Engineering, Math, or related field and 5+ years of software engineering experience, including 3+ years focused on ML.
• Strong grasp of algorithms, data structures, and computer architecture.
• Hands-on with TensorFlow, PyTorch, Spark MLLib, or Scikit-learn.
• Proficient in Python , Java , or Go .
• Experience with large-scale data processing (Spark, Hive, MapReduce).
• Clear communicator who collaborates well across functions.

Preferred qualifications

• Built or operated large-scale distributed systems.
• Experience with geospatial data and place matching.
• Track record of taking ML models from idea to reliable production service used by millions.
• Comfortable participating in an on-call rotation for high-traffic services.
• Able to turn model insights into product and business recommendations.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .