Applied Scientist: Talent Acquisition ML for Fair Hiring

Amazon Inc.; City of Edinburgh; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Amazon Development Centre (Scotland) Limited in Edinburgh is seeking a machine learning specialist to design and implement models powering job seeker and recruiter recommendations. You will work with engineers, scientists, and product managers to define requirements and deliver scalable ML solutions that improve the hiring experience.

The role involves participating in the full ML/DS lifecycle, analyzing performance metrics, and staying current with research to drive fair and explainable AI

Qualifications

• Experience solving business problems through machine learning, data mining and statistical algorithms.
• Experience programming in Java, C++, Python or related language.
• Speak, write, and read fluently in English.

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.

Skills

Machine Learning

Data Mining

Statistical Analysis

Python

Education

PhD in computer science or related fields

Tools

Java

C++

Python

Job description

Amazon Development Centre (Scotland) Limited in Edinburgh is seeking a machine learning specialist to design and implement models powering job seeker and recruiter recommendations. You will work with engineers, scientists, and product managers to define requirements and deliver scalable ML solutions that improve the hiring experience.

The role involves participating in the full ML/DS lifecycle, analyzing performance metrics, and staying current with research to drive fair and explainable AI