Applied Scientist, EU InTech Consumer Selection Discovery

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Applied Scientist, EU InTech Consumer Selection Discovery

Sector: Science and Pharmaceutical
Role: Professional
Contract Type: Permanent
Hours: Full Time

DESCRIPTION

Amazon's International Technology org in EU (EU INTech) is creating new ways for Amazon customers discovering Amazon catalog through new and innovative Customer experiences. Our vision is to provide the most relevant content and CX for their shopping mission. We are responsible for building the software and machine learning models to surface high quality and relevant content to the Amazon customers worldwide across the site.

The team, mainly located in 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 matching, ranking, LLMs, computer vision, recommendations systems, Search as well as CX. Are you interested in how the experiences that fuel Catalog and Search are built to scale to customers WW? 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 LLMs, text to image and image to text state of the art models to scale to enable new Customer Experiences WW. You will design, develop, deliver and support a variety of models in collaboration with a variety of roles and partner teams around the world. You will influence scientific direction and best practices and maintain quality on team deliverables.

BASIC QUALIFICATIONS

- PhD
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience building machine learning models or developing algorithms for business applications
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

PREFERRED QUALIFICATIONS

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 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 TensorFlow

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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.