Applied Scientist II, Prime Video Recommendation/Search Science Job at Prime Vid

Applied Scientist II, Prime Video Recommendation/Search Science

Join to apply for the Applied Scientist II, Prime Video Recommendation/Search Science role at Prime Video & Amazon MGM Studios.

Description

Prime Video is a leading entertainment platform offering a vast collection of premium programming accessible across thousands of devices. Prime members can personalize their viewing experience and access movies, series, documentaries, and live sports, including Amazon MGM Studios productions, licensed content, and titles from Prime Video add-on subscriptions like Apple TV+, Max, Crunchyroll, and MGM+. Non-Prime customers can rent or buy titles via the Prime Video Store and enjoy free content with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating top-tier digital video experiences. As a technologist, you will have end-to-end ownership of the product, user experience, design, and technology to deliver innovative experiences. You’ll work on fast-paced, challenging projects, experimenting with new ideas, taking risks, and collaborating with talented teams.

We seek diverse perspectives, ideas, and skills to enhance Prime Video for our customers. With global opportunities, your career path in Prime Video Tech is open-ended.

We are looking for a self-motivated, passionate, and resourceful Applied Scientist experienced in Recommender Systems, Search Ranking, or Ads Ranking. You will be a hands-on machine learning practitioner and research leader, building and guiding models from scratch. Your contributions will benefit millions of Amazon customers worldwide.

Key responsibilities include:

• Develop ML models for recommendation & search systems using deep learning, online learning, and optimization techniques.
• Collaborate with scientists, engineers, and product managers to deepen product insights with data, and design experiments to identify high-impact projects.
• Stay current with advancements and new modeling techniques in the field.
• Publish research findings in top conferences and journals.

A day in the life

We use advanced approaches like foundation models to connect video and customer data from diverse sources, enabling effective recommendations even with limited behavioral signals. This helps discover niche interests and new titles for our customers. You will be a research leader and hands-on practitioner, guiding talented engineers and scientists, and publishing your work internally and externally.

About The Team

The Prime Video Recommendation/Search Science team develops science solutions for search relevance, ranking, and sourcing, working closely with engineering teams to deploy solutions in production.

Qualifications:

• 3+ years of experience building models for business applications.
• PhD or Master’s degree with 4+ years in CS, CE, ML, or related fields.
• Proficiency in Java, C++, Python, or similar languages.
• Experience in algorithms, data structures, parsing, optimization, data mining, parallel/distributed/high-performance computing.

Preferred:

• Unix/Linux experience.
• Professional software development experience.

Amazon is an equal opportunity employer. For accommodations during the application process, visit this link. The position’s salary range varies by location, from $136,000 to $223,400 annually, based on experience and market factors. We offer comprehensive benefits. The position remains open until filled. Apply via our career site.

Company: Amazon.com Services LLC

Job ID: A3068500

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research, Science, and Engineering

Industries

• Entertainment Providers