Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation
Job ID: Amazon Development Centre (Scotland) Limited
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.
Key job responsibilities
As an Applied Scientist, you will own the design and development of end to end systems. You'll 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 Amazon's customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross functional 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 end to end machine learning services for use in the HR and Recruiting functions at Amazon.
Basic Qualifications
* PhD, or a Master's degree and experience in CS, CE, ML or related field
* Experience in patents or publications at top tier peer reviewed 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, high performance computing
* Experience in building machine learning models for business application
Preferred Qualifications
* Knowledge of NLP, Graphs, Informational Retrieval or Skill Taxonomies
Posted: October 6, 2025 (Updated 7 days ago)
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