PhD Research Scientist

3 weeks ago

London, Greater London, United Kingdom Amazon Full time

About the Role

We are seeking a highly skilled PhD Research Scientist to join our Prime Video Sports Tech team in Israel. As an Applied Scientist, you will be responsible for leading the development of new algorithms and end-to-end solutions in Computer Vision and Machine Learning. You will work closely with a team of applied scientists and software development engineers to research, design, develop, and deploy algorithms into production pipelines.

Key Responsibilities

  • Develop and lead the development of new algorithms and end-to-end solutions in Computer Vision and Machine Learning
  • Collaborate with a team of applied scientists and software development engineers to research, design, develop, and deploy algorithms into production pipelines
  • Drive publications of original work in top-tier conferences in Computer Vision and Machine Learning
  • Work with cross-functional teams and systems to deliver high-quality results

About the Team

Our team is responsible for developing products to allow for personalizing the customers' experience and providing them real-time insights and revolutionary experiences using Computer Vision and Machine Learning. We are a fast-paced, growth business available in over 240 countries and territories worldwide.

Requirements

  • PhD or Master's degree in Computer Science, Electrical Engineering, or related field
  • Experience building machine learning models or developing algorithms for business applications
  • Experience programming in Java, C++, Python, or related languages
  • 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
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience in building production-grade deep learning models for computer vision, recommendation systems, or related fields
  • Experience with defining research and development practices in an applied environment
  • Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.)
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • Track record in creating novel algorithms and advancing the state of the art
  • Technical writing, verbal communication, and cross-discipline collaboration skills

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