Machine Learning Scientist 4 -Content & Media ML Foundations

Netflix is one of the worlds leading entertainment services with 278 million 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, anywhere, and can change their plans at any time. The Role Netflix is revolutionizing the entertainment industry with world-class technology. We serve 260 million members across 190 countries, delivering great movies & TV shows every month in 30 languages. The Content & Media ML Foundations team, within Data Science and Engineering, is responsible for foundational R&D initiatives shaping the future of content production and promotion at a global scale. We build and deliver high-leverage foundational ML solutions that support global content production and promotion at scale and extend the impact of mature ML outputs (e.g., content embeddings & member preference prediction models) across Netflix. We are looking for an experienced ML Scientist to join the team. Responsibilities Own and innovate upon ML models that predict long-term engagement of members & profiles with our content slate and future launching titles, informing and supporting a range of decisions across the content, studio and Ads domains. Have end-to-end ownership of ML model development lifecycle, from feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement. Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities. Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions. Embrace and enact Netflix values in daily work and interactions. About You At least four years of applied ML experience with a successful track record of delivering quality results. Advanced degree (MS or PhD) in Computer Science or a related technical field with a focus on machine learning, artificial intelligence. Solid experience in building and deploying machine learning models to production environments Excellent communication skills with the ability to translate business context and intuition into data-oriented hypotheses to drive impact. Strong coding experience in Python, with proficiency in ML frameworks such as TensorFlow, Keras, or PyTorch. A passion for and appreciation of the creative and entertainment industry is definitely a plus. Netflix Culture Netflix's culture is an integral part of what makes us successful. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for roles in this area of Netflix is typically $170,000 - 720,000. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here (https://jobs.netflix.com/culture) . Tags: ResearchSite We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.