Job Details

Senior Applied Scientist - Alexa AI

Advertiser
Amazon
Location
Cambridge, Massachusetts, United States
Rate
-

Do you want to work on Alexa, the voice activated digital assistant powering Amazon Echo, Dot, Show and Fire TV? Are you an Applied Scientist who dreams of building solutions that combine the latest technology in applied machine learning, NLP and distributed Cloud services? The Entity Resolution (ER) team works on one of the core server-side components for Alexa's Natural Understanding (NU) module, which provides additional context and information about the user's question to Alexa. We are looking for a talented, detail-oriented and self-motivated Applied Scientist who is passionate about new technologies to join the team. You will be working alongside top notch machine learning scientists and engineers building complex new capabilities for Alexa. Our systems need to meet remarkably high standards of quality, performance and reliability, operating around the clock on a massive scale. As a member of the team, you will be responsible for leading the development and launch of core product features. You will deliver key machine learning solutions into production, while inventing and building algorithms from the ground up. You will have significant influence on the overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product to delight Alexa customers.

BASIC QUALIFICATIONS

Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
5+ years relevant industry experience
Experience with programming language like Python, R, MATLAB, or similar Scripting language

PREFERRED QUALIFICATIONS

Ph.D. with concentration in Natural Language Processing, Machine Learning, Statistics or another highly quantitative field
Significant peer reviewed scientific contributions in relevant field
Extensive experience applying theoretical models in an applied environment
Expertise on a broad set of ML approaches and techniques
Proven track record of delivering large-scale machine learning, speech, language understanding, search and/or personalization applications, or leading successful research projects in one or more of these fields
Strong fundamentals in problem solving, algorithm design and complexity analysis
Experience with defining organizational research and development practices in an industry setting
Proven track record in leading, mentoring and growing teams of scientists (teams of five or more scientists)
Strong communication and data presentation skills
Experience with Java, C++ (or other high-level programming languages)
Experience developing cloud software services and an understanding for scalability, performance, and reliability

Amazon is an Equal Opportunity Employer - Minority/Women/Disability/Veteran/Gender Identity/Sexual Orientation/Age

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