Are you passionate about encouraging reading in the mobile age
The Kindle and Print Newsstand reading programs intend to provide the right content to each customer at the right time - varying from casual readers, avid readers to brand loyalists.
The universe of selection is vast, from a variety of sources such as magazines, newspapers to paywall content.
We are looking for a thought leader with hands on experience with deep software and machine learning skills to lead this effort.
You will work with vast amounts of data. You will research and build machine learning algorithms, and deploy these ML applications into large scale production services.
This role offers applied machine learning at its best : unsolved research problems based on rich Amazon datasets and the ability to serve and improve customer s Reading experience.
PhD or MS in Computer Science (Machine Learning, AI, Statistics, or equivalent);
3+ years of practical experience applying ML to solve complex problems;
Algorithm and model development experience for large-scale applications;
Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives PhD in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent);
5+ years of practical experience applying ML to solve complex problems;
Extensive knowledge and practical experience in deep neural networks and other recommendation systems, including : convolutional neural networks (CNNs), recurrent neural networks (RNNs), residual neural networks and collaborative filtering techniques;
Significant peer reviewed scientific contributions in premier journals and conferences;
Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar);
Proven track record of production achievements, handling gigabyte and terabyte size datasets;
Strong fundamentals in problem solving, algorithm design and complexity analysis;
Strong personal interest in learning, researching, and creating new technologies with high customer impact;
Experience with defining research and development practices in an applied environment;
Proven track record in technically leading and mentoring scientists;
Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.