Jobs at Netflix
3,782 open positions
Security Software Engineer (L5) - Workforce Security
Company: Netflix
Location: USA
Posted Nov 17, 2025
This text describes Netflix's workforce security team, a role for a Security Software Engineer, required skills, compensation structure, benefits, and company culture. It emphasizes security controls, collaboration, and inclusive practices.
QA Manager - Studio Development Games
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is seeking an experienced Quality Assurance (QA) Manager to join their Game Studio and ensure high-quality testing standards for new games on their platform. The role involves leading multiple QA teams, building external QA partnerships, and ensuring Netflix-developed games meet quality standards. The ideal candidate should have extensive experience in gaming QA, technical requirements testing, and iOS/Android testing.
Software Engineer L4/L5 - Data and Feature Infrastructure, Machine Learning Platform
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company leverages machine learning and artificial intelligence to personalize content recommendations, optimize content slate, and improve various business initiatives. They are seeking to build a next-generation ML data and feature platform to improve the productivity of ML practitioners and enable sharing of datasets across various ML domains.
Machine Learning Engineer - AI for Member Systems
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a passionate and talented Machine Learning Engineer to join their AI for Member Systems team. The role involves collaborating with cross-functional teams to develop and implement machine learning algorithms that improve personalization, recommendations, and member experiences. The ideal candidate should have 5+ years of experience in applying machine learning in an industrial setting, a PhD or Masters in a related field, and expertise in machine learning algorithms and frameworks.
Software Engineer L5 - Ads Eventing
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They offer a wide variety of content across genres and languages, with features like pause and resume. In November 2022, they launched an ads-supported tier to attract new members and advertisers. The Ads Platform Engineering team is building highly performant advertising systems to monetize their content and become a market leader in the rapidly growing Connected TV advertising space.
Machine Learning Manager - Content Enterprise
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Content Enterprise DSE team provides analytics, data science, and machine learning solutions to support content production across various business areas. The team is seeking a manager to lead and mentor a team in building analytical insights, scalable ML pipelines, and LLM-powered solutions for cross-functional business teams.
Senior Game Producer - Narrative
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is seeking a Senior Game Producer Narrative to join their dynamic Games Production team. The role involves guiding development teams, fostering innovation, and ensuring high-quality player experiences. The position is remote with a preferred PST time zone and offers a competitive compensation package.
UI Engineer (L5) - Content & Business Products
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is constantly innovating to entertain the world and improve content production and member experiences. Engineering teams work on scaling and innovating content production, building products and services to optimize and automate the content creation process, and supporting enterprise needs. The company values diversity, inclusion, and high standards of conduct and performance.
Analytics Engineer 5 - Application Quality of Experience
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company provides a seamless, high-quality streaming experience across a wide range of devices. The Client Data Science & Engineering team uses large datasets to generate insights about the end-to-end user experience and systems. The company is seeking an analytics engineer to improve App QoE instrumentation and monitoring.
Machine Learning Scientist (L5) - Content and Studio
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Studio Production team within Data Science and Engineering develops analytics and machine learning tools to support decision-making in content finance and production planning. They are seeking an experienced ML scientist to build ML solutions for self-service analytics of structured and unstructured data.
Machine Learning Manager - Asset Generation DSE
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading global entertainment service with 283 million paid memberships in over 190 countries. The company seeks to entertain the world by connecting members to movies and TV shows they love, launching thousands of new titles annually. Netflix aims to empower creators with innovative tools and data-driven insights to bring more joy to its members.
Data Scientist 5 - Availability
Company: Netflix
Location: USA
Posted Nov 17, 2025
Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company relies on extensive technical infrastructure to deliver a great member experience. The role of a Senior Data Scientist focused on Infrastructure Availability involves developing metrics, partnering with various teams, and making recommendations to improve system reliability and availability.