Senior Applied Scientist, Books Content Experience

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

Are you passionate about transforming the digital reading and publishing landscape The Kindle Books Team is at the forefront of revolutionizing the publishing and reading experience for millions worldwide. We are seeking innovative Applied Scientists to join us at the forefront of the digital transformation in the publishing industry. Our team is dedicated to enhancing the book publishing and reading experience using edge AI technology. We strive to streamline the publishing lifecycle, improve digital reading, and empower book publishers through innovative AI tools and solutions to grow their business on Amazon.

We are building a holistic team focused on leveraging advances in AI to improve the Reading experience for Kindle customers, and the Publishing experience for book content creators and distributors; and this role is specifically for an Applied Scientist who will focus on making publishers lives easier through AI.

Key job responsibilities

• Inspect AI initiatives across Amazon to identify how these can be applied and scaled to book publishers or publishing workflows.
• Participate in team design, scoping and prioritization discussions. You must be able to map a business goal to a scientific problem, and map business metrics to technical metrics.
• Spearhead the design and implementation of new features and algorithms based on thorough research and collaboration with cross-functional teams.
• You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning
• You are able to use reasonable assumptions, data, and customer requirements to solve problems.
• You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members.
• You work with SDEs to deliver solutions into production to benefit customers or an area of the business.
• You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects.
• You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs.
• You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly
• You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics.
• You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You keep current with research trends in your area of expertise and scrutinize your results.
• Experience in mentoring junior scientists

A day in the life

You will be working with a group of talented scientists on researching algorithm and running experiments to test solutions to improve our experience. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, model development and productionizing the same. You will mentor other scientists, review and guide their work, help develop roadmaps for the team.

Basic Qualifications

Preferred Qualifications

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https : / / amazon.jobs / content / en / how-we-hire / accommodations for more information. If the country / region you&aposre applying in isn&apost listed, please contact your Recruiting Partner.

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Skills Required

Java, Unix, Machine Learning, Natural Language Processing, Data Mining, Parsing, Deep Learning, Computer Vision, Linux, Python