Applied Scientist, Prime Video Sports
Amazon, IL, United States
Job ID: 2820776 | Amazon Development Center (Tel Aviv)
Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. If this sounds exciting to you, please read on.
We are looking for an Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from the ground up. Our team will focus on developing products to allow for personalizing the customers’ experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML).
Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead the development of new algorithms and E2E solutions. You will be part of a team responsible for research, design, development, and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You must be a self-starter and be able to learn on the go.
BASIC QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business applications
- PhD, or a Master's degree and experience in CS, CE, ML or related field research
- 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
- 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
- Background in classical CV algorithms is a plus.
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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