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Applied Scientist - Alexa Language Technologies

Applied Scientist - Alexa Language Technologies

Job ID 
526071
Location 
US-WA-Seattle
Posted Date 
4/19/2017
Company 
Amazon Corporate LLC
Position Category 
Research Science
Recruiting Team 
..

Job Description

The Alexa Linked Data Platform is looking to hire a team of Applied Scientists who are going to push the boundaries in record linkage, ontology alignment, fact extraction and data normalization.

Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our team is creating critical platform capabilities that will accelerate Alexa's Al. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.

We’re looking for a passionate, talented, and inventive Senior Scientist to help build industry-leading intelligent offerings that customers love. Our mission is to apply Artificial Intelligence (AI) and Machine Learning (ML), in order to reduce users cognitive load, reduce friction in their day-to-day activities and finally, inspire our customers by enabling serendipitous discovery of experience.

You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will mentor junior scientists, and work in a fast paced team environment. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.

Basic Qualifications

  • MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • 5+ years of hands-on experience in predictive modeling and analysis
  • Strong algorithm development experience
  • Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language

Preferred Qualifications

The ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, Economics, or a related quantitative field, and 7+ years of relevant work experience, including:
  • Significant peer reviewed scientific contributions in relevant field.
  • Extensive experience applying theoretical models in an applied environment.
  • Expertize on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametrics methods.
  • Strong Experience in Structured Prediction and Dimensionality Reduction.
  • Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).
  • Proven track record of production achievements in language, search and personalization.
  • Strong fundamentals in problem solving, algorithm design and complexity analysis.
  • Strong personal interest in learning, researching, and creating new technologies with high commercial impact.
  • Experience with defining organizational research and development practices in an industry setting.
  • Proven track in leading, mentoring and growing teams of scientists (teams of five or more scientists).
  • Strong communication and data presentation skills

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation