Uber Staff Machine Learning Engineer - Maps 

United States, West Virginia 

299258072

What the Candidate Will 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

Basic Qualifications

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 8-years full-time Software Engineering work experience, WHICH INCLUDES 5-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 work, internships, relevant course-work, or project experience in any of the following areas: machine learning, search, ranking, recommendation systems, pattern recognition, data mining, or artificial intelligence
• 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 .