- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field.
Amazon's International Technology org in EU (EU INTech) is creating new ways for Amazon customers to discover the Amazon catalog through innovative customer experiences.
Our vision is to provide the most relevant content and customer experience for their shopping mission.
We are responsible for building the software and machine learning models to surface high-quality and relevant content to Amazon customers worldwide across the site.
The team, mainly located in the Madrid Technical Hub, London, and Luxembourg, comprises Software Developers, ML Engineers, Applied Scientists, Product Managers, Technical Product Managers, and UX Designers who are experts in several areas of ranking, computer vision, recommendation systems, search, and customer experience.
Are you interested in how the experiences that fuel Catalog and Search are built to scale to customers worldwide?
Are you interested in how we use state-of-the-art AI to generate and provide the most relevant content?
Key Job Responsibilities: We are looking for Applied Scientists who are passionate about solving highly ambiguous and challenging problems at a global scale.
You will be responsible for major science challenges for our team, including working with text-to-image and image-to-text state-of-the-art models to enable new customer experiences worldwide.
You will design, develop, deliver, and support a variety of models in collaboration with various roles and partner teams around the world.
You will influence scientific direction and best practices and maintain quality on team deliverables.
- Knowledge of core undergraduate curriculum of computer science.
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 (https://www.Amazon.Jobs/en/privacy_page) to know more about how we collect, use, and transfer the personal data of our candidates.
#J-18808-Ljbffr