Job Description
Description: • Collaborate closely with stakeholders in Product Discovery & Promotion to learn deeply about content metadata and merchandising and identify potentially impactful problems to solve via scalable machine learning and artificial intelligence solutions • Develop innovative systems and models that empower decision-making for stakeholders and product features that can deliver member joy by leveraging a wide variety of metadata and production media generated by and collected from our productions throughout their end-to-end lifecycle • Collaborate with team members and cross-functional partners to operationalize your models so that they can be integrated seamlessly into operational workflows • Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding machine learning algorithms and system architectures Requirements: • Ph.D. or MS degree in a quantitative or computational field • 4+ years of full-time work experience in one or more relevant machine-learning roles • Practical experience in supervised, unsupervised, and deep machine learning methods • Practical experience applying machine learning and Gen AI solutions to video, audio, and/or textual data sources • Practical experience operationalizing or productionizing machine learning and/or artificial intelligence solutions • Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process • Exceptional written and oral communication with technical and non-technical audiences Benefits: Apply tot his job
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