Senior Machine Learning Scientist

Do you want to know about new movies and TV shows that you'll enjoy the day they come out? So do millions of our customers, world wide. Did you know we have a wide range of niche content including Natural Park documentaries, Kung-fu movies, or Korean dramas on our service? No? Well, we're looking to change that. Come be part of history, as we fulfill Prime Video's vision of being customer's first place to find something to watch

A day in the life
We're using cutting edge approaches such as graph convolutional networks (GCNs) to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external ML conferences (e.g. https://dl.acm.org/citation.cfm?id=3292500.3330675).

About the hiring group
Prime Video Recommendation science team owns different aspects of personalization algorithms, from user-item relevance, item-item relevance, and page composition, to name a few. We work closely with the engineering teams to put our models in production.

Job responsibilities
· Develop ML models for various recommendation systems using deep learning, online learning, and optimization methods
· Work closely with engineers and product managers to expand the depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps
· Provide technical and scientific guidance to your team members
· Stay up-to-date with advancements and the latest modeling techniques in the field
· Publish your research findings in top conferences and journals


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Basic Qualifications

· PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
· 3+ years of experience in building machine learning models for business application
· Experience programming in Java, C++, Python or related language
· PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent);
· 5+ 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

Preferred Qualifications

· 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;
· 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
· Experience with recommender systems is a plus

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.