[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Amazon · GB, MLN, Edinburgh # Applied Scientist, PXT LEGENDS GB, MLN, Edinburgh Research & Science Listed on Amazon’s official careers site. Posted October 27, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10590070/applied-scientist-pxt-legends) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, PXT LEGENDS ## Job description 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 Design and implement machine learning models that power recommendation systems for job seekers and recruiters, ensuring high performance, scalability, and reliability at global scale. Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience. Participate in the full software development lifecycle including scoping, design, coding, testing, documentation, deployment, and maintenance of recommendation systems and ML models. Solve complex ML problems using optimal data structures and algorithms, making thoughtful trade-offs between efficiency and maintainability. Stay current with scientific literature and develop novel approaches that address business challenges in talent acquisition. You will have the opportunity to provide feedback on scientific work across the organization helping the entire Intelligent Talent Acquisition organization improve. ### A day in the life You might spend the morning reviewing a colleague’s code for a new recommendation algorithm feature, then collaborate with product managers to refine requirements for an upcoming enhancement. After lunch, you’ll dive into model development, analyzing performance metrics from recent A/B tests and implementing improvements to the job-seeker recommendation pipeline. Throughout the day, you’ll participate in scientific discussions with peers across the organization, providing valuable feedback while continuing to refine your expertise. ## At a glance - Posted by the employer: Oct 27, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 8, 2026 - Listed for: 12 days - Location: GB, MLN, Edinburgh[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10590070/applied-scientist-pxt-legends) ## Hiring at Amazon - Open jobs: 21,930 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Amazon ### [Applied Scientist, Personalization, Personalization](https://jobs.opennash.com/companies/amazon/jobs/9480fd556d795bc465cc/) IL, Haifa ### [Applied Scientist, Personalization, Personalization](https://jobs.opennash.com/companies/amazon/jobs/e6a7d4c67e7f0965245a/) IL, Tel Aviv ### [Applied Scientist, Personalization, Personalization Strategic Initiatives Science](https://jobs.opennash.com/companies/amazon/jobs/59041034e6e0e4ca18f8/) IL, Tel Aviv ### [Applied Scientist, Prime Video Commerce Insights](https://jobs.opennash.com/companies/amazon/jobs/268d816ee00e9b7ca81b/) GB, London ### [Applied Scientist, Prime Video Sports](https://jobs.opennash.com/companies/amazon/jobs/fa432d4bb8a75fb2e68e/) IL, Tel Aviv ## Similar jobs at other companies ### [Gameplay Animator (Apex Legends)](https://jobs.opennash.com/companies/electronic-arts/jobs/50bc5934c48ea01f50ea/) Electronic Arts ### [Gameplay Engineer (Apex Legends)](https://jobs.opennash.com/companies/electronic-arts/jobs/f21d79ec5e09748cdc96/) Electronic Arts ### [Applied AI Engineer II](https://jobs.opennash.com/companies/microsoft/jobs/d1f0b398c1b9f0f6c533/) Microsoft · India, Telangana, Hyderabad ### [Applied Sciences INTERN](https://jobs.opennash.com/companies/microsoft/jobs/081227b58f9d63add4e6/) Microsoft · Israel, Tel Aviv, Herzliya ### [Applied Data Scientis](https://jobs.opennash.com/companies/siemens/jobs/566b3d0612be1136192e/) Siemens [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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