Applied Scientist, EU INTech Consumer Selection Discovery, Tamale

At Amazon we are committed to being the Earths most customer-centric company. The European International Technology group (EU INTech) owns the enhancement and delivery of Amazons engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.

You will be joining the Tools and Machine Learning (Tamale) team. As part of EU INTech we tackle complex high-impact problems at the intersection of e-commerce AI and customer experience going well beyond traditional ML pipelines. Our work spans multiple frontiers: we build GenAI-powered data solutions enabling scalable and cost-efficient training data generation at Amazon scale. We design and deploy agentic systems for detecting and fixing quality issues across Amazons retail surfaces. And we develop ranking and recommendation models for Haul shopping experiences.

We are looking for a passionate talented and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.

Key job responsibilities
We look for applied scientists who possess a wide variety of skills. As the successful applicant for this role you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes to scale existing systems and to improve catalog data quality to name just a few. You will work with business leaders scientists and product managers to translate business and functional requirements into concrete deliverables including the design development testing and deployment of highly scalable distributed services.

You will be part of team of scientists and engineers working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team setting the standards for scientific excellence. You will be working with state-of-the-art models including image to text LLMs and GenAI.

Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!

- Experience in building models for business application
- PhD or a Masters 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 state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow

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.

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