Job ID: 2823537 | 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 from Originals and Exclusive content to exciting live sports events. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career in Prime Video Tech takes you!
Key job responsibilities
As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding and so on. You’ll work on diverse projects that enhance Prime Video’s recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:
1. Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges.
2. Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.
3. Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.
4. Actively participate in publishing your research in leading conferences and journals.
5. Lead a team of skilled applied scientists, shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership.
6. Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.
BASIC QUALIFICATIONS
1. Experience building machine learning models or developing algorithms for business application.
2. PhD, or a Master's degree and experience in CS, CE, ML or related field.
3. Experience programming in Java, C++, Python or related language.
4. 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
1. Experience using Unix/Linux.
2. Experience in professional software development.
3. Publications at top-tier peer-reviewed conferences or journals in one of those areas (computer vision, machine learning, audio processing, natural language processing/understanding, large language models).
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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