Applied Scientist, Kindle Direct Publishing

Amazon; San Diego (CA); On-site; USD 136,000 - 224,000; Full time

Job summary

Join a leading company as an Applied Scientist to innovate in the Kindle Direct Publishing space. This role focuses on leveraging machine learning and data science to enhance author and reader experiences. Ideal candidates will bring a strong technical background, and a proactive approach to optimizing systems and driving science-based solutions.

Qualifications

• 3+ years of building models for business applications.
• Experience in patents or publications at top-tier peer-reviewed conferences.
• Hands-on experience with algorithms, data structures, and numerical optimization.

Responsibilities

• Work with large multimodal datasets to build ML models.
• Analyze customer reading behavior and measure engagement.
• Provide technical leadership for product teams on ML solutions.

Skills

Machine Learning

Computer Vision

Natural Language Processing

Optimization

Statistics

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Java

C++

Python

Job description

Applied Scientist, Kindle Direct Publishing

Join to apply for the Applied Scientist, Kindle Direct Publishing role at Amazon

Applied Scientist, Kindle Direct Publishing

1 week ago Be among the first 25 applicants

Join to apply for the Applied Scientist, Kindle Direct Publishing role at Amazon

Get AI-powered advice on this job and more exclusive features.

Description

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.

Description

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 empowring, 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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’re applying in isn’t listed, please contact your Recruiting Partner.

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 $223,400/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2874834

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Amazon by 2x

Sign in to set job alerts for “Applied Scientist” roles.

Research Scientist I/II, Translational Biology

San Diego, CA $73,500.00-$136,500.00 14 hours ago

Analytical Development Research Scientist

Scientist II (Must Have RESEARCH LABORATORY & PROJECTS)

Applied Scientist, Buyer Abuse Prevention Machine Learning

TEMP - Scientist, Analytical Chemistry, Research

Molecular & Cell Biology Research Scientist, Tissue & Cell Characterization

San Diego Metropolitan Area $80,000.00-$100,000.00 3 months ago

Computational Chemistry Senior Research Scientist

Field Applications Scientist (BFX Support))

Research Scientist I, Cell Based Assay Development

United States $103,800.00-$155,700.00 2 weeks ago

San Diego, CA $72,000.00-$84,000.00 11 hours ago

Applied Scientist, Amazon Private Brands

San Diego, CA $136,000.00-$223,400.00 2 hours ago

San Diego, CA $130,000.00-$160,000.00 1 year ago

Analytical Development Principal Research Scientist

Senior Applied Scientist, Advertising Trust

San Diego, CA $150,400.00-$260,000.00 2 hours ago

Principal Research Scientist, Formulations

San Diego Metropolitan Area $70.00-$100.00 9 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.