We are seeking an exceptional Applied Scientist to join our Prime Video Sports tech team in Israel. Our team is dedicated to developing state-of-the-art science to allow for personalizing the customers experience and customers to 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 what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as temporal information retrieval, leveraging Generative AI and Large Language Models (LLMs), and building state-of-the-art 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 lead the development of 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 such as Gen AI/LLMs to enhance content discovery and search capabilities.
You'll 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 Information Retrieval. 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.
Requirements: BASIC QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application.
- 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 in patents or publications at top-tier peer-reviewed conferences or journals.
- 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.
- Track record in creating novel algorithms and advancing the state of the art.
- Technical writing, verbal communication, and cross discipline collaboration skills.
This position is open to all candidates.