Applied Scientist, Books Recommendations
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 136000 - 223400
Posted on:
28 days ago
Vacancies:
1 Vacancy
Job Summary
Passionate about books The Amazon Books personalization team is looking for a talented Applied Scientist II to help develop and implement innovative science solutions to make it easier for millions of customers to find the next book they will this role you will:
- Collaborate within a dynamic team of scientists economists engineers analysts and business partners.
- Utilize Amazons large-scale computing and data resources to analyze customer behavior and product relationships.
- Contribute to building and maintaining recommendation models and assist in running A/B tests on the retail website.
- Help develop and implement solutions to improve Amazons recommendation systems.
Key job responsibilities
The role involves working with recommender systems that combine Natural Language Processing (NLP) Reinforcement Learning (RL) graph networks and deep learning to help customers discover their next great read. You will assist in developing recommendation model pipelines analyze deep learning-based recommendation models and collaborate with engineering and product teams to improve customer-facing recommendations.
As part of the team you will learn and contribute across these technical areas while developing your skills in the recommendation systems space.
A day in the life
In your day-to-day role you will contribute to the development and maintenance of recommendation models support the implementation of A/B test experiments and work alongside engineers product teams and other scientists to help deploy machine learning solutions to production. You will gain hands-on experience with our recommendation systems while working under the guidance of senior scientists.
About the team
We are Books Personalization a collaborative group of 5-7 scientists 2 product leaders and 2 engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Personalization is a part of the Books Content Demand organization which focuses on surfacing the best books for customers wherever they are in their current book journey.
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 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
- 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.
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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
- Collaborate within a dynamic team of scientists economists engineers analysts and business partners.
- Utilize Amazons large-scale computing and data resources to analyze customer behavior and product relationships.
- Contribute to building and maintaining recommendation models and assist in running A/B tests on the retail website.
- Help develop and implement solutions to improve Amazons recommendation systems.
Key job responsibilities
The role involves working with recommender systems that combine Natural Language Processing (NLP) Reinforcement Learning (RL) graph networks and deep learning to help customers discover their next great read. You will assist in developing recommendation model pipelines analyze deep learning-based recommendation models and collaborate with engineering and product teams to improve customer-facing recommendations.
As part of the team you will learn and contribute across these technical areas while developing your skills in the recommendation systems space.
A day in the life
In your day-to-day role you will contribute to the development and maintenance of recommendation models support the implementation of A/B test experiments and work alongside engineers product teams and other scientists to help deploy machine learning solutions to production. You will gain hands-on experience with our recommendation systems while working under the guidance of senior scientists.
About the team
We are Books Personalization a collaborative group of 5-7 scientists 2 product leaders and 2 engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Personalization is a part of the Books Content Demand organization which focuses on surfacing the best books for customers wherever they are in their current book journey.
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 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
- 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.
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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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