Scientist- Computational Linguistics - Amazon - California - Wizbii

Scientist- Computational Linguistics

  • Par Amazon
  • California (United States of America)

Description de l'offre

DESCRIPTION

There's a revolution brewing to bring convenience, simplicity, efficiency, and fun to our lives, and you can be a part of it! We are hiring a Speech Scientist to be a part of the team that's creating customer experiences to discover, personalize, and acquire Alexa Skills for devices such as Amazon Echo and Amazon Fire TV. If you're not familiar with Alexa and Skills you can learn more here: https://amazon.com/alexaskills.

The Amazon Alexa Skills Store is aggressively seeking a Speech Scientist to be a member of a cross-functional team. By using massive amounts of real-time and historical user data you will help research, develop and automate models for semantic understanding, text similarities and grammars. Working with a team of software development engineers, a successful candidate has a bias for action and is most comfortable when testing their hypotheses using heterogeneous datasets. You will be expected to challenge current methods while enriching the world's most advanced speech platform.

Profil recherché

BASIC QUALIFICATIONS

· Master's degree in Computational Linguistics, Engineering, Statistics or related field
· 3+ year of experience in two or more of these or similar Natural Language Processing topics: word categorization and tagging, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, application of machine learning to NLP, semantic similarity, phrasal semantic analysis, text matching and similarity, word embedding, lexicon normalization, named entity recognition
· Experience with data mining, and analytics techniques
· Experience in programming in R, Python, SAS or similar languages
· Experience with NLP libraries such as NLTK, openNLP, Stanford-NLP, WordNet, SAS Text Miner or other NLP software.
· Experience with data visualization and presentation, turning complex analysis into insight

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