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As a Machine Learning Engineer at Netflix, you will forecast traffic, optimize infrastructure, and manage ML models, supporting engineering teams for improved performance and reliability.

Develop and maintain distributed systems for Netflix, promoting high availability, scalability, and performance while mentoring engineers and building robust infrastructure.

Design, develop, and deploy scalable systems for content production at Netflix, collaborating with multiple teams to enhance efficiency and resilience.

The role involves designing scalable infrastructure, collaborating for reliability, automating monitoring and response tools, managing incidents, and promoting reliability culture at Netflix.

Lead the Consumer Authorization team at Netflix to develop and innovate access policy platforms for high-scale streaming, Ads, and Games services, while mentoring backend engineers and building strong relationships with product management and engineering partners.

Collaborate with data scientists and engineers to maintain large-scale machine learning models in production, implementing best practices for deployment and monitoring.

The role involves building and operating scalable ads-related systems, processing real-time data for measurement and reporting, and developing robust monitoring and auditing systems.

The UI Engineer will build and optimize advertising systems, focusing on UI/UX design, fullstack development, and working with REST APIs in a cloud environment.

The Department Assistant provides administrative support across corporate functions, managing calendars, travel, and expenses, while fostering relationships and organizing events.

The role involves designing and maintaining reusable UI frameworks, collaborating with product engineers, and optimizing performance for Netflix's platforms.