At Netflix, our mission is to entertain the world. Together, we are writing the next episode – pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed
Job Overview Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using Netflix’s content delivery ecosystem. The Ads Inventory Management & Forecasting team builds real‑time inventory forecasting solutions leveraging ML
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed
Netflix is one of the worlds leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play,
Overview Fast‑paced innovation in the theory and practice of large language models (LLMs) is greatly helping to advance state‑of‑the‑art Search and Recommendation experiences. We are looking for exceptional applied machine learning engineers to help us develop technology to power
Overview We are building Metaflow, a product that makes it easy to build, manage and scale real‑life machine‑learning (ML) applications at Netflix. Metaflow is used in over 100 distinct ML applications spanning personalization, recommendations, growth, and advertising.Responsibilities
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. Using rich multi-modal data (text, video,
We are looking for a seasoned engineering leader to lead one of the broad horizontal teams within our Machine Learning Platform (MLP) org. MLP is chartered to maximize the business impact of all ML practices at Netflix and
At Netflix, the Studio Media Algorithms team leads algorithmic innovation to enhance and support the creation of entertainment content, including games. This role is embedded within that team and collaborates closely with a specialized Games Studio
Responsibilities Hire, inspire, and grow high‑performing Machine Learning Scientists, Analytics Engineers, and Data Scientists. Lead strong partnerships with stakeholders across the business, including product, engineering, consumer insights, content, and strategy. Instill an inclusive culture that is innovative and collaborative
At Netflix, our mission is to entertain the world. Together, we are writing the next episode – pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed
Netflix, Inc. is seeking a Senior Research Scientist for Payments & Partnerships within the Data Science & Engineering team, responsible for developing machine learning models that enhance member experiences for billions of payment transactions. The role emphasizes innovation
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed
The Opportunity: We are looking for a strong technical lead for the new Search & Recommendations innovation initiative, which is a strategic bet for our business. You will play a highly cross-functional role, partnering with other
Role Overview Senior Research Scientist – Payments & Partnerships Data Science & Engineering team. Location: Los Gatos, CA or Remote. In this role you will develop, deploy, and refine machine learning models that improve member experience and efficiency
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Netflix, Inc. is seeking a skilled software engineer to lead advancements in Metaflow, a platform enhancing machine learning applications. The role involves designing and implementing product improvements while collaborating with researchers and the open-source community. Candidates should have over
Senior Research Engineer – Growth & Commerce Data Science & Engineering team. Location: Los Gatos, CA or Remote. The Growth & Commerce Data Science & Engineering team plays a critical role in driving and accelerating sustainable growth
The Opportunity: We are looking for a strong technical lead for the new Search & Recommendations innovation initiative, which is a strategic bet for our business. You will play a highly cross-functional role, partnering with other