Applied Scientist Amazon Search
Applied Scientist Amazon Search
Posted on :
02-05-2025
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1 Vacancy
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Job Description
We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50 of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple delightful and full of WOW moments for EVERYONE whether you are technically savvy or new to online shopping.
As an Applied Scientist you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazons shopping experience by automatically generating relevant content and building a whole page experience that is coherent dynamic and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment and your work will directly impact millions of customers.
You are going to love this job because you will:
* Apply stateoftheart Machine Learning (ML) algorithms including Deep Learning and Reinforcement Learning to improve hundreds of millions of customers shopping experience.
* Have measurable business impact using A/B testing.
* Work in a dynamic team that provides continuous opportunities for learning and growth.
* Work with leaders in the field of machine learning.
Joining this team youll experience the benefits of working in a dynamic entrepreneurial environment while leveraging the resources of (AMZN) one of the worlds leading internet companies. We provide a highly customercentric teamoriented environment.
A successful candidate will have a solid research background in machine learning and reinforcement learning algorithms customer obsession great communication skills and the motivation to achieve results in a fastpaced environment.
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 highperformance computing
* Ph.D. in Computer Science Statistics Applied Math or a related quantitative field * At least 2 years of experience with predictive modeling and analysis applying various machine learning techniques including supervised/unsupervised learning deep learning and reinforcement learning * At least 1 year of experience building large scale production software system * Strong publication record at top ML conferences and journals * Strong verbal and written communications skills; experience presenting complex technical information succinctly to technical and nontechnical audiences 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. For individuals with disabilities who would like to request an accommodation please visit 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 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 $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 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 you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazons shopping experience by automatically generating relevant content and building a whole page experience that is coherent dynamic and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment and your work will directly impact millions of customers.
You are going to love this job because you will:
* Apply stateoftheart Machine Learning (ML) algorithms including Deep Learning and Reinforcement Learning to improve hundreds of millions of customers shopping experience.
* Have measurable business impact using A/B testing.
* Work in a dynamic team that provides continuous opportunities for learning and growth.
* Work with leaders in the field of machine learning.
Joining this team youll experience the benefits of working in a dynamic entrepreneurial environment while leveraging the resources of (AMZN) one of the worlds leading internet companies. We provide a highly customercentric teamoriented environment.
A successful candidate will have a solid research background in machine learning and reinforcement learning algorithms customer obsession great communication skills and the motivation to achieve results in a fastpaced environment.
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 highperformance computing
* Ph.D. in Computer Science Statistics Applied Math or a related quantitative field * At least 2 years of experience with predictive modeling and analysis applying various machine learning techniques including supervised/unsupervised learning deep learning and reinforcement learning * At least 1 year of experience building large scale production software system * Strong publication record at top ML conferences and journals * Strong verbal and written communications skills; experience presenting complex technical information succinctly to technical and nontechnical audiences 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. For individuals with disabilities who would like to request an accommodation please visit 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 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 $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 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.
Employment Type
Full-Time
Key Skills
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