Research Scientist, Content Understanding
Job 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, and developing quality evaluations via mechanisms such as LLM-as-a-judge or LLM juries
• 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:
• Inclusion initiatives
• Meaningful interview accommodations
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• 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, and developing quality evaluations via mechanisms such as LLM-as-a-judge or LLM juries
• 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:
• Inclusion initiatives
• Meaningful interview accommodations
Apply tot his job
Apply To this Job