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

Applied Scientist Opportunity At Prime Video

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices worldwide. In addition, Prime members in the US can also subscribe to 100+ channels, including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon's enormous selection, exceptional value, and fast delivery.

Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? 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.

Key job 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.

About the team:

Prime Video Personalization and Discovery science team owns different aspects of personalization algorithms, from user-item relevance, item-item relevance, and page composition, to name a few. We work closely with the engineering teams to put our models in production.