Passionate about books? The Amazon Books personalization team is looking for a talented Applied Scientist III to help invent, design, and deliver cutting-edge science solutions to make it easier for millions of customers to find the next book they will love. In this role you will:- Be a part of a growing and vibrant team of scientists, economists, engineers, analysts, and business partners.- Use Amazon's large-scale computing and data resources to generate deep understandings of our customers, and products.- Build models to generate recommendations and run them as large scale A/B tests directly on the retail website.- Design, implement, and deliver novel solutions to some of Amazon's oldest problems.Key job responsibilitiesThe role is focused on recommender systems bridging Natural Language Processing (NLP), Reinforcement Learning (RL), graph networks, and deep learning to help find the next great read for Books customers. You will build recommendation model pipelines, identify technical opportunities within complex deep learning-based recommendation models, and work with engineering and product leaders to power customer-facing recommendations.As part of the team, you will be exposed to all of these areas and have opportunities to hone and apply your skills across our problem space.A day in the lifeFrom day-to-day, you will research and develop models that power customer facing recommendations, design and implement A/B test experiments, as well as collaborate with engineers, product, and other scientists to get machine learning solutions into production.About the teamWe are Books Personalization a collaborative group of 5-7 scientists, 2 product leaders, and 2 engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Personalization is a part of the Books Content Demand organization, which focuses on surfacing the best books for customers wherever they are in their current book journey.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USA- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.- Experience with large scale distributed systems such as Hadoop, Spark etc.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.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.