Applied Scientist, Prime Video Sports Personalization
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ملخص الوظيفة
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. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time 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 seeking an exceptional Applied Scientist to join our Prime Video Sports personalization team in Israel. Our team is dedicated to developing state-of-the-art science to personalize the customer experience and help customers seamlessly find any live event in our selection. You will have the opportunity to work on innovative large-scale projects that push the boundaries of whats possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval sequential modeling realtime model optimizations utilizing Large Language Models (LLMs) and building state-of-the-art complex recommender systems.
Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization Information Retrieval and Recommender Systems or general ML to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers you will be responsible for researching designing developing and deploying algorithms into production pipelines. Your role will involve working with cutting-edge technologies in recommender systems and search. Youll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems. We expect you to thrive in ambiguous situations demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems. The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.
About the team
We are the Prime Video Sports September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. That was just the start. Now Amazon has exclusive broadcasting rights to major leagues like NFL Thursday Night Football Tennis majors like Roland-Garros and English Premier League to list a few and are broadcasting live events across 30 sports world-wide. Prime Video is expanding not just the breadth of live content that it offers but the depth of the experience. This is a transformative opportunity the chance to be at the vanguard of a program that will revolutionize Prime Video and the live streaming experience of customers everywhere.
- Experience building machine learning models or developing algorithms for business application
- PhD or a Masters 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
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience creating novel algorithms and advancing the state of the art
- Significant peer-reviewed scientific contributions in premier journals and conferences
- Experience in building production grade deep learning models for Information Retrieval 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
- Technical writing verbal communication and cross discipline collaboration skills
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time 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 seeking an exceptional Applied Scientist to join our Prime Video Sports personalization team in Israel. Our team is dedicated to developing state-of-the-art science to personalize the customer experience and help customers seamlessly find any live event in our selection. You will have the opportunity to work on innovative large-scale projects that push the boundaries of whats possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval sequential modeling realtime model optimizations utilizing Large Language Models (LLMs) and building state-of-the-art complex recommender systems.
Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization Information Retrieval and Recommender Systems or general ML to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers you will be responsible for researching designing developing and deploying algorithms into production pipelines. Your role will involve working with cutting-edge technologies in recommender systems and search. Youll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems. We expect you to thrive in ambiguous situations demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems. The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.
About the team
We are the Prime Video Sports September 2018 Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football. That was just the start. Now Amazon has exclusive broadcasting rights to major leagues like NFL Thursday Night Football Tennis majors like Roland-Garros and English Premier League to list a few and are broadcasting live events across 30 sports world-wide. Prime Video is expanding not just the breadth of live content that it offers but the depth of the experience. This is a transformative opportunity the chance to be at the vanguard of a program that will revolutionize Prime Video and the live streaming experience of customers everywhere.
- Experience building machine learning models or developing algorithms for business application
- PhD or a Masters 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
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience creating novel algorithms and advancing the state of the art
- Significant peer-reviewed scientific contributions in premier journals and conferences
- Experience in building production grade deep learning models for Information Retrieval 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
- Technical writing verbal communication and cross discipline collaboration skills
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
المهارات المطلوبة
- Laboratory Experience
- Immunoassays
- Machine Learning
- الكيمياء الحيوية
- Assays
- Research Experience
- Spectroscopy
- البحث والتطوير
- cGMP
- Cell Culture
- علم الأحياء الجزيئي
- Data Analysis Skills
عن الشركة
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... اعرض المزيد
