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The Software Engineer will design, build, and ship consumer-facing features, enhance UI performance, and collaborate with cross-functional teams to improve Netflix's TV applications.

The role focuses on enhancing detection frameworks using machine learning to identify malicious activities and minimize risks for Netflix.

Develop and optimize machine learning models for financial and operational workflows at Netflix, ensuring model reliability and integration with studio applications.

Build and deploy ML systems that detect fraud and automate security decisions, while collaborating with cross-functional teams.

The role involves developing scalable security controls, improving internal tools, and ensuring high-quality software development, particularly in workforce security areas.

Manage security initiatives for Netflix consumer products, collaborating with product, engineering, and business teams while strengthening security posture against fraud and abuse.

The Security Software Engineer will develop and improve detection frameworks to identify risks, utilizing detection-as-code and collaboration across teams.

Drive strategy and evolution of application development platforms to enhance developer experience and reduce operational complexity across Netflix.

Build and maintain scalable data pipelines for security data, enabling teams to detect and mitigate risks effectively. Collaborate cross-functionally to strengthen Netflix's security stance using big data technologies.

Build reliable data pipelines and intuitive data products to mitigate security and fraud risks, leveraging big data technologies.