Applied Scientist, Amazon Ads - Creative X

Amazon Development Centre (Scotland) Limited - A64; City of Edinburgh; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in advertising seeks an Applied Scientist for their Creative X team in Edinburgh. This role focuses on developing machine learning solutions to improve advertising creative quality, requiring expertise in statistical analysis and model evaluation. Ideal candidates will have a strong background in computer science or related fields, with hands-on programming experience in Java, C++, and Python.

Qualifications

• PhD or Master's degree and experience in CS, CE, ML or related field.
• Experience programming in Java, C++, Python or related language.
• Experience in building machine learning models for business applications.

Responsibilities

• Use statistical analysis and machine learning techniques to create scalable solutions.
• Analyze and extract relevant information from large structured and unstructured data.
• Research and implement novel machine learning and statistical approaches.

Skills

Statistical analysis

Machine learning

Data mining

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Java

C++

Python

Unix/Linux

Job description

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Applied Scientist, Amazon Ads - Creative X, Edinburgh

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Client:

Location:

Edinburgh, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

53c9be191f9b

Job Views:

32

Posted:

24.06.2025

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Job Description:

Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across US, EU and an increasing number of international geographies. The Creative X team has the charter to improve the quality of advertising creatives by detecting and fixing issues in advertiser-supplied creatives, raising the bar on the advertising customer experience.

Our team is looking for Applied Scientists to research and develop the next generation of ML and LLM-based Judge systems that identify and correct issues with advertising creatives. Working with other scientists and engineers, you will bridge the gap between AI research and real-work applications at significant scale. You will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives.


Key job responsibilities
• Use statistical analysis, machine learning and LLM techniques to create scalable solutions for business problems
• Analyze and extract relevant information from large amounts of both structured and unstructured data
• Design, experiment and evaluate highly innovative models for regression and classification challenges
• Maintain, evaluate and improve existing models
• Research and implement novel machine learning and statistical approaches
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation together with software engineering teams

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

- Experience using Unix/Linux
- Experience in professional software development