Applied Scientist, Workforce Intelligence
Top Benefits
About the role
Do you want a role with deep meaning and the ability to make a major impact?
As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity
to reinvent the hiring process and deliver unprecedented scale,
sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is
an industry-leading 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. You’ll work on
state-of-the-art research, advanced software tools, new AI systems, and
machine learning algorithms, leveraging Amazon's in-house tech stack to bring
innovative solutions to life. Join ITA in using technologies to transform the
hiring landscape and make a meaningful difference in people's lives. Together,
we can solve the world's toughest hiring problems.
Global Hiring Science owns and develops products and services using Artificial
Intelligence and Machine Learning (ML) that enhance recruitment. We
collaborate with scientists to build and maintain machine learning solutions
for hiring, offering opportunities to both apply and develop ML engineering
skills in a production environment.
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 cross-functional teams with Research Scientists and
Software Engineers to integrate AI-driven products into Amazon’s 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, industrial-
organizational psychology, data science, and measuring the knowledge, skills,
and abilities that it takes to be successful at Amazon.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's 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
Preferred Qualifications
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
About Amazon
Amazon Web Services, like all Amazon businesses, is guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Our innovation starts with each customer’s challenge, so we are continually working on new and unprecedented opportunities to transform the way people live and work.
Applied Scientist, Workforce Intelligence
Top Benefits
About the role
Do you want a role with deep meaning and the ability to make a major impact?
As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity
to reinvent the hiring process and deliver unprecedented scale,
sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is
an industry-leading 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. You’ll work on
state-of-the-art research, advanced software tools, new AI systems, and
machine learning algorithms, leveraging Amazon's in-house tech stack to bring
innovative solutions to life. Join ITA in using technologies to transform the
hiring landscape and make a meaningful difference in people's lives. Together,
we can solve the world's toughest hiring problems.
Global Hiring Science owns and develops products and services using Artificial
Intelligence and Machine Learning (ML) that enhance recruitment. We
collaborate with scientists to build and maintain machine learning solutions
for hiring, offering opportunities to both apply and develop ML engineering
skills in a production environment.
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 cross-functional teams with Research Scientists and
Software Engineers to integrate AI-driven products into Amazon’s 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, industrial-
organizational psychology, data science, and measuring the knowledge, skills,
and abilities that it takes to be successful at Amazon.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's 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
Preferred Qualifications
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
About Amazon
Amazon Web Services, like all Amazon businesses, is guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Our innovation starts with each customer’s challenge, so we are continually working on new and unprecedented opportunities to transform the way people live and work.