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
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
Netflix Fall 2026 AI/ML Scientist Internship: The Transparency & Cost Breakdown Landing a technical research role at a global streaming pioneer like Netflix is the ultimate validation for anyone operating in advanced technology. Netflix has officially
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 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 seeks an AI/ML Scientist Intern (AIMS AI Foundations) for Fall 2026 in Los Gatos, CA. This track targets currently enrolled PhD students in CS/ML/AI/Data Science and requires returning to university after the internship period. Proficiency
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
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
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 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,
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,