Applied Scientist, Prime Video Sports Personalization

Amazon Inc.; Asti; Hybrid; EUR 92,000 - 149,000; Full time

Job summary

Amazon Development Center Tel Aviv is seeking an Applied Scientist for Prime Video Sports Personalization. You will work on state-of-the-art ML and recommender systems, leveraging large-scale data to optimize live sports content delivery and engagement.

You will research, design, implement, and deploy algorithms into production, collaborating with cross-functional teams to push the boundaries of personalization and information retrieval.

Qualifications

• PhD, or a Master’s degree and experience in CS, CE, ML or related field.
• Experience building ML models or algorithms for business applications.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Research, design, develop, and deploy algorithms into production pipelines.
• Collaborate with applied scientists and software engineers on end-to-end solutions.
• Tackle information retrieval and real-time personalization challenges for sports content.

Skills

Personalization

Information Retrieval

Recommender Systems

Machine Learning

Education

PhD

Master's degree in CS/CE/ML or related field

Tools

Java

C++

Python

Job description

Applied Scientist, Prime Video Sports Personalization

Job ID: 10577503 | Amazon Development Center (Tel Aviv)

Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? If so - come and work with us, and you will 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 what's 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 the latest technologies in recommender systems and search.

You’ll also tackle unique challenges like temporal information retrieval to improve realtime 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 proven 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 team. In 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 worldwide. 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.

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
• 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
• Experience creating novel algorithms and advancing the state of the art
• Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
• Experience defining research and development practices in an applied environment
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive 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
• Significant peer-reviewed scientific contributions in premier journals and conferences

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.