Do you apply Machine Learning to big data problems? Are you excited by analyzing and modeling terabytes of data that solve real world problems? We love data and have lots of it. We’re looking for a whip smart engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems.
Use statistical and machine learning techniques to create scalable object recognition and text understanding systems
Design, development and evaluation of highly innovative models for training and prediction
Working closely with software engineering teams to drive real-time model implementations and new feature creations
Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Tracking general business activity and providing clear, compelling management reporting on a regular basis
Research and implement novel machine learning and statistical approaches
3 or more years of PhD in CS Machine Learning, Operational Research, Statistics or in another highly quantitative field
3+ years of hands-on experience in predictive modeling and analysis
Skills with Java, C++ (or other high-level programming language) as well as R, MATLABm Python (or similar scripting language)
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying
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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