Applied Scientist Workforce Intelligence
Applied Scientist Workforce Intelligence
Posted on :
08-04-2025
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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 global impact Hiring top talent is not only critical to Amazons successit can literally change the world. It took a lot of great hires to deliver innovations like AWS Prime and Alexa which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy to Amazons Talent Acquisition operation.
ITA is an industryleading people science and technology organization made up of scientists engineers analysts product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year we delivered over 6 million online candidate assessments creating a meritbased approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates 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 to solve complex hiring challenges. One day we can bring our solutions to the rest of the world. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in peoples lives.
Within ITA the Global Hiring Science (GHS) team designs and implements innovative hiring solutions at scale. We work in a fastpaced global environment using research to solve tough problems and build impactful hiring tools that deliver measurable impact to our customers. Were seeking machine learning scientists with a strong foundation in natural language processing or large language models experimental design and data analysis. Preferred candidates will have experience with fair machine learning models and designing/deploying machine learning models at scale. Youll work closely with crossfunctional teams experimenting with emerging technologies to design novel solutions that improve the quality of new hires while enhancing the candidate experience across all of Amazons hiring.
Key job responsibilities
Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring.
Clearly and cogently present your work and ideas and respond effectively to feedback.
Collaborate with crossfunctional teams with Research Scientists and Software Engineers to integrate AIdriven products into Amazons hiring process.
Stay at the advance of AI research continuously exploring and implementing new techniques in NLP LLMs and GenAI to drive innovation in hiring.
Implement advanced natural language processing models to extract insights from diverse data sources.
Ensure effective teamwork communication collaboration and commitment across multiple teams with competing priorities.
Contribute to the scientific community through publications presentations and collaborations with academic institutions.
About the team
The mission of Global Hiring Science (GHS) is to improve both the efficiency and effectiveness of hiring across Amazon with assessments and interview improvements. We are a team of experts in machine learning industrialorganizational psychology data science and measuring the knowledge skills and abilities that it takes to be successful at Amazon.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
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 using Unix/Linux
Experience in professional software development
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 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.
The base salary for this position ranges from $149300/year up to $249300/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
ITA is an industryleading people science and technology organization made up of scientists engineers analysts product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year we delivered over 6 million online candidate assessments creating a meritbased approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates 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 to solve complex hiring challenges. One day we can bring our solutions to the rest of the world. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in peoples lives.
Within ITA the Global Hiring Science (GHS) team designs and implements innovative hiring solutions at scale. We work in a fastpaced global environment using research to solve tough problems and build impactful hiring tools that deliver measurable impact to our customers. Were seeking machine learning scientists with a strong foundation in natural language processing or large language models experimental design and data analysis. Preferred candidates will have experience with fair machine learning models and designing/deploying machine learning models at scale. Youll work closely with crossfunctional teams experimenting with emerging technologies to design novel solutions that improve the quality of new hires while enhancing the candidate experience across all of Amazons hiring.
Key job responsibilities
Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring.
Clearly and cogently present your work and ideas and respond effectively to feedback.
Collaborate with crossfunctional teams with Research Scientists and Software Engineers to integrate AIdriven products into Amazons hiring process.
Stay at the advance of AI research continuously exploring and implementing new techniques in NLP LLMs and GenAI to drive innovation in hiring.
Implement advanced natural language processing models to extract insights from diverse data sources.
Ensure effective teamwork communication collaboration and commitment across multiple teams with competing priorities.
Contribute to the scientific community through publications presentations and collaborations with academic institutions.
About the team
The mission of Global Hiring Science (GHS) is to improve both the efficiency and effectiveness of hiring across Amazon with assessments and interview improvements. We are a team of experts in machine learning industrialorganizational psychology data science and measuring the knowledge skills and abilities that it takes to be successful at Amazon.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
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 using Unix/Linux
Experience in professional software development
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 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.
The base salary for this position ranges from $149300/year up to $249300/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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