Sr. ML Scientist

Job description

DESCRIPTION

Amazon FreeTime is seeking a talented, self-directed Applied Scientist to join the team. This is a unique opportunity to play a key role in an exciting, fast growing business.

You will be working on some of the world's most cutting edge customer experience and technology. You'll design and run experiments and find new ways of optimizing customer experience. Besides theoretical innovation, you will work closely with talented engineers to put your models into practice.

Amazon FreeTime brings together all types of content that kids and parents love including videos, books, educational apps and games. It provides peace of mind for parents with parental controls and a world of fun for kids to choose from thousands of the most popular titles and age-appropriate content. Here's more information: http://www.amazon.com/freetime. Our goal is to create a revolutionary experience for parents and kids to enjoy on our Amazon family of devices. Working for Amazon FreeTime offers a creative, fast-paced, entrepreneurial work environment where you will be at the center of Amazon innovation. Come help build the future of Amazon devices and services!

You are the ideal candidate if you are clearly passionate about delivering experiences that delight customers and creating solutions that are robust. You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You enjoy and succeed in fast paced environments where learning new concepts quickly is a must. You leverage your exceptional technical expertise, a sound understanding recommender systems and ML fundamentals, and practical experience delivering these systems at scale to create reliable high performance products. Your strong communication skills enable you to work effectively with both product management and technical partners.

PREFERRED QUALIFICATIONS

· PhD in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent);
· Proven track record of innovation in creating novel algorithms and advancing the state of the art
· 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;
· Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar);
· Strong fundamentals in problem solving, algorithm design and complexity analysis;
· Strong personal interest in learning, researching, and creating new technologies with high customer impact;

Desired profile

BASIC QUALIFICATIONS

· PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· 1 year 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