Applied Scientist, Kindle Direct Publishing

Amazon; San Diego (CA); On-site; USD 90,000 - 160,000; Full time

Job summary

Join a forward-thinking company as an Applied Scientist in Kindle Direct Publishing, where you'll leverage your expertise in machine learning, computer vision, and data science to revolutionize the book industry. This role offers the chance to work with large datasets, develop AI-based systems, and lead innovative projects that empower authors and enhance reader experiences. Collaborate with world-class professionals and contribute to cutting-edge research that shapes the future of publishing. If you're passionate about automation and optimization, this is an exciting opportunity to make a significant impact in a dynamic environment.

Qualifications

• 3+ years of experience building models for business applications.
• Experience in patents or publications at top-tier conferences.

Responsibilities

• Build generative and discriminative models for optimization.
• Provide technical leadership in machine learning solutions.

Skills

Machine Learning

Computer Vision

Natural Language Processing

Optimization

Data Science

Statistical Learning

Programming (Java, C++, Python)

Education

PhD in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Unix/Linux

High-performance computing

Job description

Applied Scientist, Kindle Direct Publishing

Job ID: 2874834 | Amazon.com Services LLC

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 you 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 connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to 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. Senior Applied Scientists are specialists with the deep expertise to drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services.

Come join us as we revolutionize the book industry and deliver an amazing experience to our Kindle authors and readers.

Key job responsibilities

Great candidates for this position will be experts 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 leadership with strong business judgment to make the right decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate significant creativity and high judgment.

About the team

Kindle Direct Publishing (KDP) has 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 empowering, yet simple to use and accessible to all. We focus on building systems 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.

BASIC QUALIFICATIONS

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

• Experience using Unix/Linux
• Experience in professional software development

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.

Posted: October 2, 2024 (Updated 1 day ago)