Applied Scientist, Amazon Ads - Creative X
Applied Scientist, Amazon Ads - Creative X

Applied Scientist, Amazon Ads - Creative X

London Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to develop cutting-edge ML systems for advertising quality.
  • Company: Amazon is a global leader in e-commerce and technology, driving innovation in advertising.
  • Benefits: Enjoy a full-time role with opportunities for remote work and corporate perks.
  • Why this job: Be part of a mission to enhance ad quality and customer experience on a massive scale.
  • Qualifications: PhD or Master's in CS, CE, ML; programming skills in Java, C++, or Python required.
  • Other info: Diversity and inclusion are core values at Amazon; we welcome applicants from all backgrounds.

The predicted salary is between 54000 - 84000 £ per year.

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

About the team

We are the Creative Judge team, building the standard for ad quality at Amazon. Our platform powers defect detection, aesthetic scoring, and spec compliance across the business—at scale. We work with everything from LLMs and first-/third-party AI models to custom computer vision pipelines, all unified by a single focus: high precision and low latency.

Our mission is to empower every creative and developer to deliver their best work—unlimited by tooling or capacity. As part of our team, you’ll build extensible, future-ready systems that support global campaigns for the world’s most iconic brands. Innovation here isn’t optional—it’s expected.

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

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 ( ) 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Applied Scientist, Amazon Ads - Creative X employer: Amazon

Amazon is an exceptional employer, offering a dynamic work environment in London where innovation and creativity thrive. As part of the Creative X team, you'll have the opportunity to work on cutting-edge machine learning projects that directly impact the quality of advertising for some of the world's most iconic brands. With a strong commitment to employee growth, diversity, and a culture that encourages collaboration and experimentation, Amazon provides a unique platform for professionals looking to make a meaningful impact in the tech industry.
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Contact Detail:

Amazon 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 able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Network with current or former employees of Amazon, especially those in the Creative X team. They can provide valuable insights into the company culture and the specific challenges the team faces, which can help you tailor your approach.

✨Tip Number 3

Prepare to showcase your problem-solving skills through practical examples. Think of scenarios where you've successfully applied statistical analysis or machine learning techniques to solve real-world problems, as this will be crucial for the role.

✨Tip Number 4

Stay updated on Amazon's advertising products and services. Understanding how they operate and their impact on customer experience will allow you to speak more confidently about how you can contribute to improving ad quality.

We think you need these skills to ace Applied Scientist, Amazon Ads - Creative X

Machine Learning
Statistical Analysis
Data Mining
Programming in Python, Java, or C++
Algorithms and Data Structures
Numerical Optimisation
Parallel and Distributed Computing
High-Performance Computing
Model Development and Validation
Experience with LLM Techniques
Data Analysis of Structured and Unstructured Data
Research and Implementation of Novel Approaches
Software Development Practices
Unix/Linux Proficiency
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, statistical analysis, and programming languages like Java, C++, or Python. Emphasise any projects or research that align with the responsibilities of the Applied Scientist role.

Craft a Strong Cover Letter: In your cover letter, express your passion for advertising technology and how your background in applied science can contribute to improving ad quality at Amazon. Mention specific experiences that demonstrate your ability to bridge AI research and real-world applications.

Showcase Your Research: If you have publications or patents, include them in your application. Highlighting your contributions to top-tier peer-reviewed conferences or journals will strengthen your candidacy and show your expertise in the field.

Prepare for Technical Questions: Be ready to discuss your experience with algorithms, data structures, and machine learning models during the interview process. Prepare examples of how you've tackled complex problems using these skills in previous roles or projects.

How to prepare for a job interview at Amazon

✨Showcase Your Technical Skills

Make sure to highlight your experience with machine learning, statistical analysis, and programming languages like Python or Java. Be prepared to discuss specific projects where you've applied these skills, as this role heavily relies on technical expertise.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss how you've tackled complex problems in the past, especially those related to data analysis or model development. Use examples that showcase your analytical thinking and creativity in finding solutions.

✨Familiarise Yourself with Amazon's Culture

Understand Amazon's leadership principles and be ready to relate your experiences to them. This will show that you align with their values and can contribute positively to their team dynamics.

✨Prepare for Technical Questions

Expect to face technical questions or case studies during the interview. Brush up on algorithms, data structures, and machine learning concepts, as well as be ready to solve problems on the spot to demonstrate your thought process.

Applied Scientist, Amazon Ads - Creative X
Amazon

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  • Applied Scientist, Amazon Ads - Creative X

    London
    Full-Time
    54000 - 84000 £ / year (est.)

    Application deadline: 2027-08-09

  • A

    Amazon

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