Senior Machine Learning Engineer - Maps

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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.

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.

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.

Don't forget to mention EuroTechJobs when applying.

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