Senior Applied Scientist, Prime Video Sports

5 days ago


Arlington, Virginia, United States Amazon Full time
Job Title: Senior Applied Scientist, Prime Video Sports

Amazon Prime Video is seeking a highly skilled Senior Applied Scientist to join our Prime Video Sports team in Israel. As a key member of our team, you will be responsible for developing innovative algorithms and solutions to enhance the customer experience and provide real-time insights using Computer Vision and Machine Learning.

About the Role

We are looking for a Senior Applied Scientist with expertise in Computer Vision or Recommendation Systems to lead the development of new algorithms and end-to-end solutions. 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 using Computer Vision and Machine Learning.
  • Collaborate with cross-functional teams to design and deploy algorithms into production pipelines.
  • Drive publications of original work in top-tier conferences in Computer Vision and Machine Learning.
  • Work with ambiguity and be a self-starter, able to learn on the go.
About the Team

Our team is responsible for developing products to personalize the customer experience and provide real-time insights 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, Machine Learning, or related field.
  • Coding and design skills, proficiency with programming languages such as C/C++, Java, or Python.
  • Strong CS fundamentals in data structures, problem solving, algorithm design, and complexity analysis.
Preferred Qualifications
  • Significant peer-reviewed scientific contributions in premier journals and conferences.
  • 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.



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