Sr. Applied Scientist, Personalization

Description

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry.

Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team operates at the intersection of search-based recommendations and customer preferences, working on novel ideas to positively impact millions of Amazon customers.

Amazon’s internal surveys regularly recognize us as one of the best organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.

Key job responsibilities

• Use machine learning and analytical techniques to create scalable solutions for business problems
• Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
• Design, develop and evaluate highly innovative models for predictive learning
• Work closely with software engineering teams to drive model implementations and new feature creations
• Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
• Research and implement novel machine learning and statistical approaches
• Mentor junior scientists; review their work and provide feedback
  
  

• PhD and 5+ years of applied research experience, or Master's degree and 10+ years of applied research experience
• 3+ years of experience building and launching deep learning and machine learning models for business applications
• Excellent coding and design skills, proficiency with programming languages such as C/C++, Java, or Python
• Several publications at top-tier peer-reviewed research conferences or journals
• Served as Program Committee member in at least one top tier conference
  
  

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
• Experience with information retrieval, recommender systems, and/or personalization algorithms
• Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.)
• Publications at top Web, Search, Machine Learning, Natural-Language Processing, Computer Vision conferences such as KDD, WSDM, TheWebConf, SIGIR, ICML, NeurIPS, ACL, EMNLP, AAAI, CVPR, etc.
• Served as Senior Program Committee Member, organized workshops or tutorials at top conferences