Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 136000 - 223400
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
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 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. Youll work on state-of-the-art research advanced software tools new AI systems and machine learning algorithms leveraging Amazons 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 peoples lives. Together we can solve the worlds toughest hiring problems.
Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! Were looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.
Key job responsibilities
Design and architect AI-powered agentic solutions that help candidates navigate Amazons hiring process including scoping requirements identifying dependencies and constraints and creating robust scientific and technical designs that balance candidate experience with system scalability.
Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities understand role requirements and receive personalized guidance throughout their hiring journey.
Develop rigorous evaluation frameworks to measure agent effectiveness candidate satisfaction and hiring outcomescontinuously iterating on models to improve accuracy fairness and user experience across millions of candidate interactions.
Collaborate cross-functionally with Research Scientists Software Engineers and Product teams to integrate agentic solutions into Amazons candidate-facing platforms ensuring seamless deployment and alignment with broader Talent Acquisition goals.
Drive innovation in agentic AI research by staying current with advances in NLP LLMs and autonomous agent architectures while contributing to the scientific community through publications internal tech talks and knowledge sharing.
About the team
Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. Youll be at the intersection of people data and technologysolving fascinating problems that directly impact how we hire the best talent globally.
- 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 programming in Java C Python or related language
- Experience in investigating designing prototyping and delivering new and innovative system solutions
- Experience applying theoretical models in an applied environment
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
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 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 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! Were looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.
Key job responsibilities
Design and architect AI-powered agentic solutions that help candidates navigate Amazons hiring process including scoping requirements identifying dependencies and constraints and creating robust scientific and technical designs that balance candidate experience with system scalability.
Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities understand role requirements and receive personalized guidance throughout their hiring journey.
Develop rigorous evaluation frameworks to measure agent effectiveness candidate satisfaction and hiring outcomescontinuously iterating on models to improve accuracy fairness and user experience across millions of candidate interactions.
Collaborate cross-functionally with Research Scientists Software Engineers and Product teams to integrate agentic solutions into Amazons candidate-facing platforms ensuring seamless deployment and alignment with broader Talent Acquisition goals.
Drive innovation in agentic AI research by staying current with advances in NLP LLMs and autonomous agent architectures while contributing to the scientific community through publications internal tech talks and knowledge sharing.
About the team
Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. Youll be at the intersection of people data and technologysolving fascinating problems that directly impact how we hire the best talent globally.
- 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 programming in Java C Python or related language
- Experience in investigating designing prototyping and delivering new and innovative system solutions
- Experience applying theoretical models in an applied environment
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
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 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 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Unclear Seniority
Key Skills
- Time Management
- Sourcing
- Talent Acquisition
- Taleo
- ATS
- HR Sourcing
- Interviewing
- Management Experience
- Team Management
- Human Resources
- negotiation
- Recruiting
About Company
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