Posted: Saturday, March 11, 2017 5:33 AM
Amazon is looking for a passionate and talented language technologies engineer with background in Machine Translation (MT) and/or Natural Language Processing (NLP), to help us scale our industry:leading MT and NLP technology.Our mission is to enable superior experience for all of AmazonA?s customers in their native languages by developing and deploying state:of:the art technology and applications in Machine Translation (MT), Natural Language Processing (NLP) and Machine Learning (ML).As part of our MT development team, you will work alongside our MT R and D team on developing, deploying, maintaining and supporting our platform fleet of Machine Translation systems that serve our various Amazon teams and clients. Your work will directly impact millions of our customers in the form of products and services that make use of our MT and NLP technology. You will gain hands on experience with AmazonA?s heterogeneous language data sources and large:scale computing resources to accelerate advances in MT and NLP.Major Responsibilities:Train and evaluate large vocabulary statistical models for MT using Amazons proprietary MT technology.Analyze the accuracy and performance of MT models and systemsAssist in deploying, maintaining and supporting Amazons platform fleet of dedicated MT systems in production for our clients.Design and implement software to collect, analyze and prepare large natural language data tegrate and test technology improvements developed by the Amazon MT R and D team.BS in Computer Science, Computational Linguistics, Language Technologies, Linguistics, or in another data engineering field.Experience working on data:intensive Natural Language Processing technology systems or similar systems.Good implementation skills in Java (or other high:level programming language) as well as Python or similar scripting languages.Exceptional analytical, troubleshooting and problem solving skills.MS in Computer Science, Computational Linguistics, Language Technologies, Linguistics, or in another data engineering field.Experience working on multilingual NLP problems, such as machine translation.Experience using tools and systems for standard NLP tasks, such as language modeling, named entity recognition, syntactic parsing, etc.Formal or informal knowledge in linguistics and/or foreign languagesExperience/ familiarity with general machine learning algorithms.Experience in development of large:scale NLP systems in a large industrial or government environmentSolid software development experienceGood written and spoken communication skills.
• Location: Pittsburgh
• Post ID: 37537110 pittsburgh