Applied Scientist, Workforce Intelligence
4 days ago
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 Amazon’s success—it 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, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy to Amazon's Talent Acquisition operation.
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
- 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.
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