Research Scientist, Content Understanding
Job Description:
ā¢ 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
ā¢ 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
ā¢ Collaborate with team members and cross-functional partners to operationalize your models so that they can be integrated seamlessly into operational workflows
ā¢ 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:
ā¢ Ph.D. or MS degree in a quantitative or computational field
ā¢ 4+ years of full-time work experience in one or more relevant machine-learning roles
ā¢ Practical experience in supervised, unsupervised, and deep machine learning methods
ā¢ 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
ā¢ Practical experience operationalizing or productionizing machine learning and/or artificial intelligence solutions
ā¢ Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
ā¢ Exceptional written and oral communication with technical and non-technical audiences.
Benefits:
ā¢ Inclusion initiatives
ā¢ Meaningful interview accommodations
ā¢ 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
ā¢ 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
ā¢ Collaborate with team members and cross-functional partners to operationalize your models so that they can be integrated seamlessly into operational workflows
ā¢ 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:
ā¢ Ph.D. or MS degree in a quantitative or computational field
ā¢ 4+ years of full-time work experience in one or more relevant machine-learning roles
ā¢ Practical experience in supervised, unsupervised, and deep machine learning methods
ā¢ 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
ā¢ Practical experience operationalizing or productionizing machine learning and/or artificial intelligence solutions
ā¢ Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
ā¢ Exceptional written and oral communication with technical and non-technical audiences.
Benefits:
ā¢ Inclusion initiatives
ā¢ Meaningful interview accommodations