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Applied Scientist

Amazon

Cambridge, United Kingdom

DESCRIPTION

Salary – Competitive Package + Benefits

Applied Scientist.

Within Amazon Alexa we develop technology that combines natural language understanding, acquiring large volumes of structured knowledge, and machine reasoning to allow our customers to get answers to their questions in the most natural way possible. We play a key role in the development of Alexa; Amazon’s cloud based voice service which delights customers on products such as Echo and Fire TV.
The Evi team is interested in scientists with strong Java backgrounds who can apply their skills to research, develop and implement infinitely scalable solutions that optimize systems such as natural language understanding, inference, semantic knowledge extraction from structured data and unstructured text; entity classification; automated answer feedback.
Your responsibilities will include

· Using statistical and machine learning techniques to create scalable natural language processing / understanding, classification, data ingestion and feedback systems.
· Researching and implementing novel, distributed and scalable machine learning and statistical approaches.
· Working closely with software engineering teams to deliver machine-learning and NLP solutions.
· Building scalable solutions for analyzing big data.

BASIC QUALIFICATIONS

· Proven commercial software development ability using Java
· Strong communication and data presentation skills.
· Masters degree in Computer Science or Machine Learning.
· Experience of designing, developing and assessing new solutions using machine learning techniques.
· Big Data experience, in particular extraction of semantic meaning from large volumes of unstructured text and data.
· Results oriented person with a delivery focus.
PREFERRED QUALIFICATIONS

· Strong NLP or machine learning background.
· PhD in computer science, machine learning, NLP or a related field.
· Ability to handle multiple competing priorities in a fast-paced environment.
· The ability to distil problem definitions, models, constraints from informal business requirements; and to deal with ambiguity and competing objectives.
· Self-starter, inquisitive about data quality and their impact on Evi customers.
· Familiar with technologies such as Spark, Scala and AWS.
Locations Available – Cambridge, UK
KDL-EU
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