Can we automatically figure out that a video is a futuristic sci-fi movie that is also a coming-of-age story with a strong female lead and themes of teamwork and revenge?
What age group will that kids TV show really appeal to? Will it also speak to their parents?
What are the relationships between the characters in the show and how do they change?
The answers to these questions and others like them are core to helping Amazon Video’s business in many ways, including customer experience, recommendations, and others. The Metadata Enrichment Team is charged with creating rich, accurate descriptions of videos from a variety of sources. We’re looking for an Applied Scientists (AS) with a background in Aritifical Intelligence (AI) and Machine Learning (ML), and interests in Natural Language Processing (NLP) and/or Computer Vision (CV) to work closely with a team of software development engineers to create solutions to these kinds of problems.
You will leverage heterogenous data sources and Amazon’s large-scale computing resources to build models describing video content; and work with domain and ontology experts and engineers to help turn those models into production solutions. You will participate in the Amazon Video ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the Amazon Video business.