Applied Scientist, PXT LEGENDS

Amazon Inc.; Leeds; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Amazon Development Centre (Scotland) Limited seeks a PhD-candidate researcher to design and implement machine learning models powering job recommendation systems for seekers and recruiters. You will collaborate with engineers, scientists, and product managers to define requirements, build scalable solutions, and contribute to the end-to-end lifecycle of ML-powered hiring tools.

You will stay current with research literature, experiment with new approaches, and help improve the Intelligent Talent

Qualifications

• Enrolled in a PhD in a relevant field.
• Experience building ML models or algorithms for business applications.
• Experience designing experiments and statistical analysis of results.

Responsibilities

• Design and implement ML models powering job-recommendation systems at global scale.
• Collaborate with engineers, scientists, and product managers to define requirements and deliver solutions.
• Participate in full software development lifecycle including design, coding, testing, and deployment of ML models.

Skills

Algorithms & data structures

Parsing

Numerical optimization

Data mining

Parallel computing

High-performance computing

Education

PhD candidate in a relevant field

Tools

Python

Java

C or C++

Job description

Job ID: 10590070 | 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

• Design and implement machine learning models that power recommendation systems for job seekers and recruiters, ensuring high performance, scalability, and reliability at global scale.
• 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.

Basic Qualifications

• - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• - Are enrolled in a PhD in a relevant field
• - Experience building machine learning models or developing algorithms for business application
• - Experience in designing experiments and statistical analysis of results

Preferred Qualifications

• - Experience in professional software development
• - Experience programming or scripting language like Python, Java, C or C++

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.