Applied Scientist II, Prime Video - Personalization and Discovery Science

Amazon
SEATTLE, WA, USA2026-04-29ONSITE

About the job

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.

Responsibilities

Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;

Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;

Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;

Effectively communicate technical and non-technical ideas with teammates and stakeholders;

Stay up-to-date with advancements and the latest modeling techniques in the field;

Publish your research findings in top conferences and journals.

Qualifications

Minimum

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

3+ years of building models for business application experience

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

Experience using Unix/Linux

Experience in professional software development