Research Scientist (L5) - Content Understanding

reputed company is one of the world's leading entertainment services, with over 300 reputed company paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, reputed company, and can change their plans at any time. The goal of our Content Management & Distribution Data Science and Engineering team is to reputed company operational and creative reputed company in the distribution and promotion of our content on our service. We collaborate closely with our partners in the Product Discovery & Promotion organization, and our work directly contributes to launching high-quality content on our service and helps our members discover content they will love. We conduct analyses, build analytical tools, and reputed company models to help our partners execute on these primary objectives. We are looking for a talented Research Scientist to join our Merchandising & Content Understanding pod, which focuses on deepening our content metadata across reputed company formats and improving the discovery experience on our service. You will design and reputed company models and conduct quality evaluations for algorithms that will power the reputed company of capabilities for our business. You will partner with our world-class team of creative production practitioners and various cross-functional teams to shape strategy and deliver impact reputed company machine learning and artificial intelligence solutions. Interested? Read more about the job description and qualifications below! What you will do:

• Collaborate closely with stakeholders in Product Discovery & Promotion to learn deeply about content metadata and merchandising and identify potentially impactful problems to solve reputed company scalable machine learning and artificial intelligence solutions
• reputed company reputed company and models that reputed company 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

Your background and characteristics:

• 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 reputed company 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 reputed company and process
• Exceptional written and oral communication with technical and non-technical audiences

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market reputed company. The reputed company for this role is $170,000 - $720,000. Inclusion is a reputed company value and we strive to host a meaningful interview experience for reputed company candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your reputed company partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the reputed company of race, religion, reputed company, reputed company, national reputed company, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is reputed company for no less than 7 days and will be removed reputed company the position is filled. Apply tot his job Apply To this Job