Are you passionate about automation, optimization, knowledge extraction, and artificial intelligence through the use of Machine Learning, Computer Vision, Optimization, Natural Language Processing, and Recommender systems? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team, the applied scientists will work with large multimodal datasets to build generative and discriminative models for optimizing large-scale manufacturing and fulfillment processes, analyze and model customer reading behavior to measure engagement and detect risks, and build AI-based systems for helping indie authors make their businesses successful.
This will involve combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture.
As an Applied Scientist at Amazon, you will be working with large distributed systems of data and collaborating with the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation.
Great candidates for this position will have strong skills in the areas of data science, machine learning, computer vision, optimization, NLP, or statistics. You will have hands-on experience with multiple science initiatives as well as be able to balance technical skills with business judgment to make the right decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate creativity and high judgment.
Come join us as we revolutionize the book industry and deliver an amazing experience to our Kindle authors and readers.
Key job responsibilities
In this role, you will be responsible for developing and maintaining science-based systems for optimizing manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business.
About the team
Kindle Direct Publishing (KDP) and Print On Demand (POD) have empowered a new wave of self-motivated creators, tearing down barriers that once blocked writers from reaching readers. Our team builds rich applications and systems that empower anyone to realize their dream of becoming a published author. We strive to provide an experience that is powerful, yet simple to use and accessible to all. We focus on building tools that enable authors to design high quality digital and print books, reaching readers all around the world. This role will help ensure we maintain the trust of both our Authors and Readers by ensuring all books published to Amazon meet our standards.
Minerva is a small team of experienced scientists with a broad charter and critical mission for the Books business. At Minerva, we build science-based systems for optimizing manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business. We also use science for marketing and content-discovery for indie authors, fraud/abuse, and content risk. Each Minerva scientist owns a large space and works closely with respective senior leaders across business, engineering, and operations for the science area they lead. We have mature areas and green-field opportunities. We have engineering, BIE, and DE support across our areas. Minerva scientists don't have on-call rotations.
POD Science Team in Minerva Science is focused on optimizing manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business.
