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Uber Staff Machine Learning Engineer - Maps 
United States, West Virginia 
299258072

24.06.2024

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 .