Netflix is looking to deepen its content metadata and improve the discovery experience on its service by designing and developing models and conducting quality evaluations for algorithms that will power the next generation of capabilities for the business.
Requirements
- 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
Responsibilities
- 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
- Design and develop models and conduct quality evaluations for algorithms that will power the next generation of capabilities for our business.
- Partner with our world-class team of creative production practitioners and various cross-functional teams to shape strategy and deliver impact via machine learning and artificial intelligence solutions.
- Conduct analyses, build analytical tools, and develop models to help our partners execute on these primary objectives.
Other
- 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
- 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
- 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
