Join Amazon Ads as an Applied Scientist in London or Edinburgh

At Amazon, advertising is being re-imagined. Positioned at the nexus of eCommerce and advertising, Amazon Ads offers a wealth of advanced advertising solutions and audience insights to help businesses and brands craft precise, impactful campaigns with measurable results. Here, innovation thrives, powered by the intersection of machine learning and artificial intelligence.

What You Will Do

As an Applied Scientist on our dynamic team, you will:

• Design, prototype, and test hypotheses in a high-ambiguity environment, leveraging both analytical and business judgment.
• Work closely with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.
• Promote a culture of experimentation and applied science within Amazon.
• Manage multiple projects effectively and meet tight deadlines.
• Showcase excellent communication and presentation skills across various peer groups and management levels.
• Drive and further improve the team culture, aligning with Amazon’s leadership principles.

Where You Will Be Based

Potential candidates can choose to be based out of our thriving tech hubs either in Edinburgh or London.

Your Expertise and Skills

Basic Qualifications:

• A PhD, Master’s degree, or equivalent experience in Computer Science, Computer Engineering, Machine Learning, or a related technical field.
• Proficiency in programming languages such as Java, C++, Python, or similar.
• Proven track record in building sophisticated machine learning models or developing algorithms for business applications.

Preferred Qualifications:

• Experience in implementing deep learning algorithms suited to computer vision.
• Contribution to patents or publications in top-tier peer-reviewed conferences or journals.
• Hands-on experience with generative deep learning models, including CNNs, GANs, VAEs, and NF.
• Familiarity with popular deep learning frameworks like MxNet and TensorFlow.

Why Amazon Ads?

Our teams utilize cutting-edge technology such as clustering, deep neural networks, and various machine learning methods to enhance the relevance of ads while safeguarding user privacy. From predictive modeling and selection optimization of ads using multi-task learning and reinforcement learning to extracting big data insights with Spark, EMR, and Elasticsearch, our applied science teams are at the forefront of innovation in advertising.

Join Our Inclusive Team

At Amazon, we are committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and we value your desire to discover, invent, simplify, and build. For any specific adjustments required during the hiring process, please reach out to our Applicant-Candidate Accommodation Team.

Ready to Innovate at Scale?

Discover more about the , explore employee stories, and apply today to help us lead the future of advertising.

Your expertise can transform the advertising landscape. Apply now to become an Applied Scientist at Amazon Ads!