Senior Applied Scientist

vor 4 Wochen


Berlin, Berlin, Deutschland Amazon Web Services Development Center Germany GmbH Vollzeit
About the Role

We are seeking a highly skilled Senior Applied Scientist to join our Fraud Prevention team at Amazon Web Services Development Center Germany GmbH. As a key member of our team, you will be responsible for developing and applying state-of-the-art Machine Learning methods to large amounts of data from different sources to build and productionalize fraud prevention, detection, and mitigation solutions.

Key Responsibilities
  • Develop and apply state-of-the-art Machine Learning methods to large amounts of data from different sources to build and productionalize fraud prevention, detection, and mitigation solutions
  • Actively contribute to the development of our ML Ops infrastructure
  • Actively contribute to the creation and delivery of our science roadmap which includes Gen AI efforts
  • Work closely with software engineering teams to deploy your innovations
  • Mentor and coach junior scientists
  • Publish your work at internal and external conferences/journals
  • Providing oncall product support approximately once every 3 months
About the Team

You will be part of a team of Applied Scientists, Research Scientists, Data Scientists, Investigations Analysts, and Technical & non-Technical Program Managers and Software Engineers. We have a broad mix of experience levels, functions, and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.

What We Offer

We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development. You will have the chance to work on cutting-edge projects that directly impact millions of customers, organizations, and employees every single day.

Requirements
  • PhD plus experience (3+years) or MS plus experience (6+ years) in ML, NLP, computer vision, or related fields
  • Experience in building machine learning models for business application
  • Research expertise in deep learning
  • Experience programming in Java, C++, Python or related language
  • Experience in publishing research papers
  • Experience in Generative Models


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