Your areas of responsibility include:

· Designing and implementing new production features and machine learned models, including the application of natural language processing, state-of-art deep learning to solve search matching and ranking problems, including spam filtering, new content indexing, and apply document understanding, and linguistic normalization.
· Perform analysis of data and metrics relevant to the search content and experiences
· Gathering search-technology related requirements from business owners, other tech teams, as well as by analyzing customer feedback
· Engaging in tech knowledge transfer with other teams
· Working with teams worldwide on global project

Your benefits:

· The opportunity to work for a major online retailer
· The opportunity to apply state-of-art techniques of applied science
· An engaging work environment with excellent career opportunities
· A competitive salary including stock units and other benefit

BASIC QUALIFICATIONS

Basic Qualifications:
· PhD or equivalent in Natural Language Processing, Machine Learning, Statistics
· 4+ years of extensive experience applying theoretical models to real-world problems
· Business or native level English skills (including the ability to read and write technical papers in English)
· Publications in conferences or journals
· Skills with programming language like R, Python and/or Scala or similar scripting language
· Strong algorithm design and analytical skills
· A firm understanding of basic programming principles, data structures, Linux

PREFERRED QUALIFICATIONS

· Significant peer reviewed scientific contributions in relevant field
· Expertise on a broad set of practical experience of applying techniques in a production setting, including Deep Learning, statistics, NLP, Recommendation systems and or information retrieval
· Strong fundamentals in problem solving, algorithm design and complexity analysis
· Experience in more than one more major programming languages (Java, C++ or similar) and at least one scripting language (Python, or similar)
· Strong personal interest in learning, researching, and creating new technologies with high commercial impact
· Experience with development practices in an industry setting
· Great verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts