Applied Scientist, Search Ranking
Core
Build efficient early-stage search ranking models and personalization techniques for billions of queries and hundreds of millions of customers.
Role type
Senior Applied Scientist (Search Ranking)
Builds
Efficient ML ranking models for Amazon's global search platform
Domain
E-commerce, Search, Machine Learning
Deliverable
production ML models
Required skills
Neural deep learning, machine learning, Java, C++, Python, A/B test analysis, reinforcement learning
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Responsibilities
Build ML models for early stage ranking, analyze data from A/B tests, collaborate with engineering teams to bring ideas to production, present proposals to business and tech leaders
Seniority
Senior, hands-on IC
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