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Amazon SrPrincipal Applied Scientist Amazon Prime Video Studios Technology 
United States, Washington, Seattle 
550761089

16.09.2024
DESCRIPTION


Key job responsibilities
As a Senior Principal Scientist on the Prime Video Studios Tech team, you will help set the science vision as well as work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will help improve science (Computer Vision technologies and Deep Learning) and Gen AI adoption in several different areas within our Studios business, including pre-production (scripting, visualization of screenplays in discussion), production (virtual actors and staging, asset creation, virtual product placement), and post production (visual effects, localization of audio, upscaling video resolution, defect detection in media supply chain etc.) You will lead ground-breaking research and provide thought leadership to scientists and engineers to invent and implement Generative AI solutions in Prime Video Studios Tech. You will develop solutions that can also be leveraged by Prime Video partner teams (Localization, Personalization, Discovery & Search, Marketing & Advertising, IMDB etc.) and Content Providers including major studios. You will represent Prime Video at internal and external science conferences, and work closely with peers in Retail, Music and AWS to advance state of the art research and science application for Machine Learning and AI, and work with our academic partners to support our in-house talent with direct access to cutting edge research and mentoring.

BASIC QUALIFICATIONS

• PhD in Computer Science/Math or a related field.
• 15+ years’ industry/academic experience in building machine learning models.
• Experience building complex, real-time systems involving Computer Vision and Deep Learning including modeling, data structures, algorithm design and complexity analysis.
• Strong familiarity with Gen AI for foundational models and Large Language Models.
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art applied science.


PREFERRED QUALIFICATIONS

• Media (Audio and Video) experience including virtual productions and special effects using a combination of traditional content synthesis and Gen AI techniques.
• Computer Science fundamentals in Computational Linguistics, NLP, NLU/NLG, multilingual multilabel classifiers, clustering, machine translation and information retrieval.
• The ability to Think Big, Dive Deep and Learn & Be Curious in order to provide strategic direction to the Prime Video Content and Studio Technology teams.
• The leadership and interpersonal skills necessary to excel in influence-based roles, with or without direct authority, while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions.
• A demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch.
• Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.