Amazon
Applied Scientist, Prime Video Sports
Tel Aviv-Yafo, Tel Aviv, ISR
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Country
- IL
- Work mode
- On-site / unstated
- First seen by hirly
- 4 Nov 2026
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the posting
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. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. 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. If this sounds exciting to you, please read on.
We are looking for an Applied Scientist to join our journey to build a Prime Video Sports tech team in Israel from the ground up. Our team focuses on developing products that personalize the customer experience and provide real-time insights using Computer Vision (CV) and Machine Learning (ML). You will get the chance to work on greenfield, large-scale science and engineering projects.
- Key job responsibilities
- We are looking for an Applied Scientist to lead the development of new Computer Vision algorithms and end-to-end solutions. You will research, design, develop, and deploy algorithms into production pipelines as part of a team of applied scientists and software development engineers. You will also drive publications of original work as patents and, optionally, in top-tier Computer Vision and Machine Learning conferences. This role involves collaborating across cross-functional teams and systems, and navigating evolving technical challenges in a greenfield environment.
- About the team
- In September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. Today, Amazon holds exclusive broadcasting rights to major leagues including NFL Thursday Night Football, Tennis major Roland-Garros, and the English Premium League, broadcasting live events across 30+ sports world-wide. Prime Video is expanding not just the breadth of live content it offers, but the depth of the experience. This is a unique opportunity to be at the forefront of a program that will transform how customers enjoy live sports streaming.
Basic qualifications
- - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- - Master's degree or above in computer science, computer engineering, or related field
- - Experience building machine learning models or developing algorithms for business application
- - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- - Experience programming in Java, C++, Python or related language
Preferred qualifications
- - Experience with machine learning techniques for fast and accurate extraction of visual features of humans (i.e. shape, pose, segmentation) from photographs
- - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- - Extensive evidence of deep learning, computer vision, human robotic interaction, algorithms implementation experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Listed on hirly, a job board. hirly is not the employer: Amazon is hiring for this role.
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