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Applied Scientist for Search Relevance

China's largest retailer is looking for an Applied Scientist for Search Relevance to join their R&D center in Santa Clara, CA.


Include but not limited the following three main directions:

  • Apply machine learning/Deep Learning models to improve search relevance
  • Provide personalized search results based on user behaviors
  • Work closely with software engineering teams to drive feature engineering and improve model accuracy


  • Master or Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, or equivalent
  • 3+ years Industry experience on search relevance
  • Have solid knowledge in machine learning and data mining. Experience with machine learning, data mining, statistical analysis and quantity modeling
  • Programming experience in Python/Java/C++
  • Knowledge of Hadoop, MapReduce, Pig, Hive, Spark
  • Knowledge of NLP is a plus
  • Knowledge of Deep Learning is a plus
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