Java Python C++ Machine Learning

Description Do you want to leverage state-of-the-art AI/ML technologies to reinvent the user experience for Amazon devices? Do you want to work alongside a team of passionate and talented scientists and engineers on the next generation of intelligent...
Description

Do you want to leverage state-of-the-art AI/ML technologies to reinvent the user experience for Amazon devices? Do you want to work alongside a team of passionate and talented scientists and engineers on the next generation of intelligent customer experiences leveraging state-of-the-art deep learning and generative models? The Amazon Devices Core AI team seeks to hire an Applied Scientist who has a solid background in design and development of scalable AI/ML models, deep passion for building end-to-end products, strong ability to communicate scientific ideas and results, and has a proven track record of executing complex projects and delivering high business impact. Experience with on-device ML is a plus.

The long-term vision of the Core AI team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee and satisfy those needs. We are building the capabilities to give Amazon devices the ability to help customers discover and find all types of relevant information and contents through conversational interactions, suggestions, and personalized recommendations. We use state-of-the-art foundational technologies that enable an intelligent customer experience leveraging advanced deep learning and large language models, generative AI, and privacy-preserving machine learning on device.

As an Applied Scientist you will contribute to the design, development and improvement of AI/ML models and systems for different products. In this role, you will be expected to:


  • Work with Applied Scientists, Data Scientists, ML Engineers and product partners to design and deliver AI/ML solutions in production at scale.
  • Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
  • Deliver customer facing and/or underlying AI/ML solutions that empower our devices to provide the best experience for our customers.

Basic Qualifications

  • PhD, or a Master's degree and experience in CS, CE, ML or related field
  • Experience in building models for business application
  • 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

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


Company - Amazon Spain Services, S.L.U.

Job ID: A2964898

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