Senior Applied Scientist, AWS Identity

1 week ago


Redmond, Washington, United States Amazon Development Center U.S., Inc. Full time
About the Role

We are seeking a highly skilled Senior Applied Scientist to join our team at AWS Identity and Access Management. As a key member of our team, you will be responsible for developing and deploying machine learning models to improve security and access management for our customers.

Key Responsibilities
  • Define the scientific roadmap and identify relevant data to drive innovation in machine learning and AI
  • Propose and develop innovative machine learning solutions to address complex security and access management challenges
  • Conduct rigorous experiments and publish results to advance the field of machine learning and AI
  • Collaborate with the engineering team to deploy machine learning models and ensure seamless integration with our products and services
About the Team

The Automated Reasoning and Identity Science team at AWS is working on products and services that help customers with access management and security. We partner with science teams in AWS Identity and Amazon GuardDuty to develop cutting-edge solutions that meet the evolving needs of our customers.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services that power businesses around the world.

What We Offer
  • A dynamic and inclusive work environment that fosters creativity and innovation
  • Opportunities to work on complex and challenging problems that drive business growth and customer satisfaction
  • A comprehensive benefits package that includes medical, financial, and other perks
  • Professional development opportunities to help you grow and advance in your career
Requirements
  • 3+ years of experience building machine learning models for business applications
  • Experience programming in Java, C++, Python, or related languages
  • PhD or Master's degree and 6+ years of applied research experience
Preferred Qualifications
  • Experience with neural deep learning methods and machine learning
  • Experience with large-scale machine learning systems and understanding of system performance and scalability


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