Amazon is looking for a passionate, talented, and inventive senior scientist with a strong background in applying machine learning and data-driven methods to Machine Translation (MT) and Natural Language Processing (NLP), to help build our industry-leading MT and NLP technology.

Our mission is to enable superior experience for all of Amazon’s customers in their native languages by developing state-of-the art technology and applications in Machine Translation (MT), Natural Language Processing (NLP) and Machine Learning (ML).
As part of our MT R&D team, you will take on a leading role in driving our MT R&D strategy in the area of Neural Machine Translation in 2018 and beyond. You will work alongside our other internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in Neural MT. Your work will directly impact millions of our customers in the form of products and services that make use of our MT and NLP technologies. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in MT and NLP.

Major Responsibilities
In close collaboration with management, lead the development of a strategic R&D roadmap in the area of Neural Machine Translation by identifying and prioritizing high-value R&D projects that lead to major breakthroughs in the capabilities of state-of-the art Neural MT systems.
Apply advanced machine learning methods to design and implement scalable MT and text understanding systems that significantly advance the state-of-the-art.
Design, development and evaluation of highly accurate and innovative models for translation and for language analysis and generation.
Work closely with software engineering teams to drive large-scale and real-time model implementations and new feature capabilities.
Establish scalable, efficient, automated processes for large-scale data analysis, model development, model validation and model implementation
Research and implement novel scalable machine learning approaches.
Present R&D plans and outcomes internally to senior management and to peer teams within Amazon and externally at top academic and industry comferences and meetings.




PhD in Computer Science, Computational Linguistics, Machine Learning, Statistics or in another highly quantitative field
Demonstrated independent scientific thinking and/or a track record of thought leadership and contributions that have advanced the field
Established publication record in MT, NLP and/or related fields.
3+ years of post-graduate experience in leading major R&D projects in the area of MT and/or NLP in an academic or industrial lab setting.
5+ years of experience in developing data-driven predictive modeling and analysis in MT, NLP or other related language technology areas.
Excellent implementation skills in Java, C++ (or other high-level programming language) as well as Python or similar scripting languages.

Educational level:

Ph. D.

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying


Tagged as: , , ,

About Amazon

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.

Founded by Jeff Bezos, the Amazon.com website started in 1995 as a place to buy books because of the unique customer experience the Web could offer book lovers. Bezos believed that only the Internet could offer customers the convenience of browsing a selection of millions of book titles in a single sitting. During the first 30 days of business, Amazon fulfilled orders for customers in 50 states and 45 countries - all shipped from his Seattle-area garage.

Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improv