Our vision is that Alexa will be the world's most knowledgeable product expert who knows you, in a store that sells everything. All those moments when we need or want to know more about the products we use every day, will have instant satisfaction of an answer: just ask Alexa. We are building a digital product expert that is always available, with super-human knowledge of every product ever made.
The ability to understand questions and provide intelligent answers, leveraging the rich data available on Amazon is quintessential to Alexa’s success as a personal shopping assistant. The Alexa Shopping Product Advisor team is seeking Applied Scientists who will partner with technology and business leaders to build new state-of-the-art algorithms, models and services that enable customers to receive answers for the questions they have about products. We expect scientists in this team to use ML techniques to create and deploy to production, models that deliver advanced Natural Language Understanding (NLU) capabilities for domain and intent classification and for named entity recognition. You will apply known techniques and invent new ones to extract product names and keywords that will help us answer the question, from natural language expressions and dialogues.
If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation
Masters or Ph.D in Computer Science or Language Science
Strong technical credentials, with at least 2 years of experience working in ML, speech recognition, natural language understanding, computer visions etc.
Experience applying theoretical models in an applied environment, solid fundamentals in problem solving, algorithm design and complexity analysis.
Proficient with mathematical programming libraries
Experience conducting analyses, and developing different types of supervised and unsupervised models for complex projects
Experience with defining organizational research and development practices in an industry setting.
Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).
A track record of communicating well with software engineers and non-technical leaders in speech technology
Recognized as an industry leader in the fields of natural language processing or computational linguistics
Experience in organization of scientific and pedagogic events such as conferences and universities.
Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams, and earn the trust and influence senior stakeholders.
Experience in defining research vision and getting buy-in from senior research and business leader across the company.