Uber Senior Machine Learning Engineer - Maps 

United States, West Virginia 

548752581

What Will You Do

• Translate business level metrics to an engineering/science problem.
• Shape the MLE role for the Maps AMS team.
• Be responsible for the End to End of the product - ML model pipeline & backend system design, implementation, AB testing, and rollout.
• Build new services that aim to significantly increase map issue resolution rate and accuracy, curate map features, and improve overall coverage.
• Collaborating in a team environment across all functions, including but not limited to engineers, product managers, data scientists, operations.

What Will You Need

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 5-years full-time Software Engineering work experience, which includes 3-years total technical software engineering experience in one or more of the following areas:
• Training using data structures and algorithms.
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning).
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib.
• Sound understanding of computer architecture and CS fundamentals.
• Proficient in one of the following programming languages: Java, Go, Python.
• Experience with MapReduce, Spark, and Hive on large datasets.
• Collaborative and work well with, and contribute to, a team.

Preferred Qualifications

• Experience working on large-scale distributed systems
• Experience working on large scale Machine Learning platforms,
• Engineering solving geospatial problems
• Proven experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability
• Proven track record to translate insight into business recommendations.
• Experience participating in oncall rotation for high scale distributed system domain

* 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 .