Staff ML Software Engineer - Large Scale Spatial/Temporal Data Processing

Are you searching for an opportunity that will challenge, encourage and make you proud? If so, our team would like to meet you. The Maps Places Data team uses a variety of spatiotemporal signals to improve and maintain the quality of all Places of Interest in the global maps database. We’re looking for an ML engineer with the curiosity and expertise to create the next generation of algorithms and processes to solve these challenging problems.

Description

Our team is responsible for the accuracy of a variety of attributes for the Points of Interest in the map database. We produce algorithms and processes that can operate globally, leveraging all available signals from aerial imagery to users’ feedback.

Minimum Qualifications

7+ years of experience in building large scale machine learning systems. Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++ Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies Metrics focused and passionate about delivering models that render high quality results Familiarity with cloud platforms such as AWS, GCP, or Azure. Strong problem-solving, communication, and ability to collaborate with cross-functional teams. Solid track record of delivering complex ML-powered features.

Preferred Qualifications

Strong spatial aptitude and intuition for algorithm design in the mapping domain Experience with classical computer vision techniques and modern solutions based on foundation models

Eeo Content

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