Sr Applied Scientist Minerva
Sr Applied Scientist Minerva
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job 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 largescale manufacturing and fulfillment processes analyze and model customer reading behavior to measure engagement and detect risks and build AIbased 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 greenfield opportunities. We offer scientific autonomy value endtoend ownership and have a strong customerfocused 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 Semisupervised 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 stateoftheart in their respective field of expertise and are constantly focused on advancing that stateoftheart for improving Amazons 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 handson 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) and Print On Demand (POD) have empowered a new wave of selfmotivated 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 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.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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.
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 Companys 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 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
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 Semisupervised 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 stateoftheart in their respective field of expertise and are constantly focused on advancing that stateoftheart for improving Amazons 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 handson 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) and Print On Demand (POD) have empowered a new wave of selfmotivated 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 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.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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.
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 Companys 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 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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