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- Tasks: Join our team to develop cutting-edge ML systems for advertising creatives.
- Company: Amazon Ads is a booming multi-billion dollar business transforming the advertising landscape.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation while making a real impact on customer experiences.
- Qualifications: PhD or Master's in CS, CE, ML; programming skills in Java, C++, or Python required.
- Other info: Work in a collaborative environment with top scientists and engineers.
The predicted salary is between 28800 - 48000 £ per year.
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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
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Applied Scientist, Amazon Ads - Creative X employer: Amazon Development Centre (London) Limited
Contact Detail:
Amazon Development Centre (London) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist, Amazon Ads - Creative X
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and large language models (LLMs). Being well-versed in current research will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the advertising technology space, especially those working at Amazon or similar companies. Attend relevant meetups or conferences to make connections that could lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving machine learning and data analysis. Be ready to explain your thought process, challenges faced, and how you overcame them.
✨Tip Number 4
Showcase your programming skills by contributing to open-source projects or creating your own. This not only enhances your portfolio but also demonstrates your ability to apply your knowledge practically.
We think you need these skills to ace Applied Scientist, Amazon Ads - Creative X
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Applied Scientist position at Amazon Ads. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in machine learning, statistical analysis, and programming languages like Java, C++, or Python. Provide specific examples of projects or research that demonstrate your expertise in these areas.
Showcase Your Research: If you have publications or patents, mention them prominently in your application. This will showcase your ability to contribute to the field and your familiarity with top-tier peer-reviewed work, which is a key requirement for this role.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Discuss why you are interested in working with Amazon Ads and how you can contribute to the Creative X team.
How to prepare for a job interview at Amazon Development Centre (London) Limited
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like Java, C++, and Python. Be prepared to discuss specific projects where you've applied machine learning techniques or developed algorithms, as this will demonstrate your technical expertise.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process when tackling complex data challenges, as this will show your capability to bridge the gap between AI research and real-world applications.
✨Discuss Your Research Experience
If you have a PhD or relevant publications, be ready to talk about your research in detail. Highlight any innovative models or statistical approaches you've developed, as this aligns well with the role's focus on improving advertising creatives.
✨Demonstrate Team Collaboration
Since the role involves working closely with other scientists and engineers, share examples of successful collaborations from your past experiences. Emphasising your ability to work in a team will show that you can contribute effectively to the Creative X team.
