Senior Software Development Engineer - AI, Prime Video - Personalization and Discovery Science

Amazon
Sunnyvale, CA, USA / Seattle, WA, USA2026-03-12ONSITE

About the job

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;

Understand problem space, identify gaps and opportunity for improvement, create roadmap and plans for delivering business goals;

Lead cross-team collaboration and work closely with engineers and product managers to deliver 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;

Mentor and grow junior scientists and interns;

Publish your research findings in top conferences and journals.

Qualifications

Minimum

5+ years of non-internship professional software development experience

5+ years of programming with at least one software programming language experience

5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Experience as a mentor, tech lead or leading an engineering team

Preferred

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Bachelor's degree in computer science or equivalent