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Senior Machine Learning Scientist

Senior Machine Learning Scientist

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Job Description

Alexa is the Amazon cloud service that powers Echo, the groundbreaking Amazon device designed around your voice. We believe voice is the most natural user interface for interacting with the web services and applications. Alexa uses a suite of foundational machine learned (ML) classifiers such as Conditional Random Fields, Hidden Markov models, and Deep Neural Networks (DNNs).

A Senior Scientist in Alexa Foundational ML Algorithms will help drive Alexa’s core general ML technologies. The core algorithms are generic and may be used to solve different problems, but the core team’s responsibility is not in the specific application. A successful candidate will be expected to:

· Innovate and execute on foundational ML algorithms that spans Deep Learning and data-efficient learning techniques such as Transfer Learning (i.e. applying learning from one task to another), Single-/Zero-Shot learning (i.e. learning from a small number of labeled samples), and Unsupervised Learning.
· Act as a technical lead for small science teams, and mentor for other scientists
· Partner with engineering teams’ productize enhancements and new ML algorithms for large-scale application

Basic Qualifications

· Bachelor's, Master's, or PhD in Computer Science or equivalent field
· At least 10 years of combined academic and industry experience
· Strong experience in fundamental ML and Deep Learning

Preferred Qualifications

· PhD with a strong academic record
· Deep knowledge in speech or natural language understanding
· Proven track record for the successful delivery of results
· Demonstrated experience as technical lead
· Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences

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