Applied Scientist, Prime Video Sports Personalization, Prime Video Sports Personalization

Amazon is hiring an Applied Scientist, Prime Video Sports Personalization, Prime Video Sports Personalization in Tel Aviv, Israel. Level rates it ; you can apply on Level.

Level's read on this job

Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
The posting mentions Python, PyTorch and TensorFlow among its tools and skills.
Level classes it as a senior role.
Amazon has 22,000+ other open roles on Level.
This posting went up in the last few days.

AI in this role

Design and deploy state-of-the-art machine learning models and LLMs for Prime Video sports personalization and search systems.

pythonpytorchtensorflowllms

machine-learningrecommender-systemsinformation-retrievalpersonalization

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 what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval, sequential modeling, real-time model optimization, utilizing Large Language Models (LLMs), and building advanced recommender systems.

Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems — or strong general ML fundamentals — to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will research, design, develop, and deploy algorithms into production pipelines. You'll work with state-of-the-art technologies in recommender systems and search, and tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will also drive the publication of original work in top-tier Machine Learning and Recommender Systems venues.

About the team
We're the Sports Science team behind personalization for live sports on Prime Video. We build custom deep learning models that predict what each customer wants to watch across live and upcoming events -- powering relevance and ranking at scale for one of the most dynamic, real-time personalization problems at Amazon. Our work spans the full stack: engineering, Transformer-based architectures, calibration, and low-latency serving in production. We own our models end to end, from research to deployment. If you're excited about applied science that ships and reaches millions of customers, come build with us.

Basic qualifications

- Experience in building models for business application
- Experience programming in Java, C++, Python or related language
- Experience applying theoretical models in an applied environment
- Master's degree in computer science, computer engineering, or related field

Preferred qualifications

- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- PhD in computer science, computer engineering, or related field

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.

How we rate this

Applied Scientist, Prime Video Sports Personalization, Prime Video Sports Personalization at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Applied Scientist, Prime Video Sports Personalization, Prime Video Sports Personalization is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IL, Tel Aviv.
The job was posted on October 19, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningRecommender SystemsInformation RetrievalPersonalizationPythonPyTorchTensorFlowLLMs

Also common in applied scientist jobs at this level

Generative AI NLP TensorFlow Spark Reinforcement learning AWS

Pay

Typical applied scientist job: $167k

This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where recommender systems was part of your work. What did you do?
Tell me about a project where information retrieval was part of your work. What did you do?
Tell me about a project where personalization was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Recommender Systems, Information Retrieval, Personalization, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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