Applied Scientist II Machine Learning ITA - Automated Performance Evaluation
Applied Scientist II Machine Learning ITA - Automated Performance Evaluation
Posted on :
14-04-2025
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1 Vacancy
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Job Description
Do you want a role with deep meaning and the ability to make a major impact As part of Intelligent Talent Acquisition (ITA) youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy for Amazon Talent Acquisition operations. ITA is an industryleading people science and technology organization made up of scientists engineers analysts product professionals and more all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity at the right location and at exactly the right time. Youll work on stateoftheart research advanced software tools new AI systems and machine learning algorithms leveraging Amazons inhouse tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in peoples lives. Together we can solve the worlds toughest hiring problems.
Key job responsibilities
As an Applied Scientist you will own the design and development of endtoend systems. Youll have the opportunity to write technical white papers create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms models or other technical solutions whilst experiencing Amazons customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and crossfunctional teams to solve complex business problems.
About the team
The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop deploy and own endtoend machine learning services for use in the HR and Recruiting functions at Amazon.
PhD or a Masters degree and experience in CS CE ML or related field
Experience in patents or publications at toptier peerreviewed 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 highperformance computing
Experience in building machine learning models for business application
Experience using Unix/Linux
Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
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.
Key job responsibilities
As an Applied Scientist you will own the design and development of endtoend systems. Youll have the opportunity to write technical white papers create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms models or other technical solutions whilst experiencing Amazons customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and crossfunctional teams to solve complex business problems.
About the team
The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop deploy and own endtoend machine learning services for use in the HR and Recruiting functions at Amazon.
PhD or a Masters degree and experience in CS CE ML or related field
Experience in patents or publications at toptier peerreviewed 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 highperformance computing
Experience in building machine learning models for business application
Experience using Unix/Linux
Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
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.
Employment Type
Full-Time
Key Skills
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