Description

　　Are you a leader passionate about driving innovation in Risk detection using machine learning and AI? We're seeking a Manager of Applied Science to lead our Risk Science team in making revolutionary leaps forward in Machine Learning, Natural Language Processing, Computer Vision, Behavioral and Graph-based modeling applied to content risk, copyright, and program abuse. In this highly critical role, you will oversee a talented team working with an immense and diverse corpus of text, image, and behavioral data to build cutting-edge models and AI-based systems that transform the publishing industry.

　　Key job responsibilities

　　Lead with Integrity and Insight: Direct a team of Applied Scientists and specialists focused on detecting and mitigating fraud, abuse, and content risk. Foster a culture of innovation, ethical standards, and scientific rigor.

　　Operate a research and innovation program to drive forward the state of the art within a highly customer-oriented business environment.

　　Strategic Risk Management: Develop and implement a comprehensive strategy to identify, analyze, and mitigate risk in our content catalogue and programs like Kindle Unlimited. Work collaboratively with cross-functional teams to implement robust solutions and preventative measures.

　　Advanced Detection and Prevention: Oversee the development and implementation of advanced models and systems to detect fraudulent activity, abuse, and inappropriate content and copyright infringement. Utilize the latest in Graph-based ML, Behavioral Modeling, and Real-Time Detection techniques. Ensure strategies are continually improved and adapted to evolving threats.

　　Collaboration and Influence: Provide expertise and guidance to product managers, teams, and organizations involved in fraud and abuse prevention. Maintain strong relationships with internal and external stakeholders to stay informed of industry trends and threats.

　　Upholding Standards: Ensure all content and user interactions meet Amazon's high standards, maintaining the trust and safety of our platform.

　　About the team

　　Minerva is a Science and Analytics organization with a broad charter and critical mission for the Books business. We build science-based systems for deep content comprehension, marketing and content-discovery for indie authors, fraud/abuse, and content risk . We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business. We have mature areas and green-field opportunities. We have engineering, BIE, and DE support across our areas.

　　We are open to hiring candidates to work out of one of the following locations:

　　San Diego, CA, USA

　　Basic Qualifications

　　PhD degree or Master's Degree plus 4 years experience in Computer Science, Engineering, Applied Math/Statistics, or a related field.

　　Excellent communication skills, capable of discussing technical details with a variety of audiences and influencing decision-making processes.

　　5+ years experience in machine learning, probability, statistical analysis, and related areas.

　　3+ years experience directly managing science teams.

　　Preferred Qualifications

　　Experience leading teams in the areas of fraud detection, abuse prevention, and content risk management within a digital or e-commerce environment.

　　Expertise in machine learning, statistical analysis, and algorithmic solutions related to fraud and abuse prevention, particularly in Graph-based ML, Behavioral Modeling, and Real-Time Detection.

　　PhD or equivalent Master's Degree in Computer Science, Engineering, or a related field, with a focus on security, fraud detection, or risk management.

　　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.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $147,100/year in our lowest geographic market up to $286,000/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.