Uber is seeking a Senior Software Engineer specializing in ML Threat Detection to join their security team. This role combines software engineering expertise with security and machine learning to protect Uber's global technology infrastructure. You'll be at the forefront of developing security solutions in an era where ML/GenAI adoption presents new security challenges.
As a Senior Security Engineer, you'll drive the development and operations of security services and frameworks that support user-facing products and platforms across Uber. The role requires a blend of deep technical expertise and practical problem-solving skills to design scalable systems while maintaining high code quality standards.
You'll work with cutting-edge technologies in distributed systems, machine learning, and security, architecting and implementing solutions that protect one of the world's largest technology platforms. The position offers the opportunity to work with big data processing (Spark), streaming data processing (Flink), and advanced machine learning techniques including deep learning and anomaly detection.
Collaboration is key in this role - you'll work closely with security leaders and engineering teams across the organization to implement security-by-design principles. The ideal candidate combines strong technical skills with excellent communication abilities, as you'll be interfacing with various teams including network operations, incident response, and compliance.
This hybrid role is based in Amsterdam, requiring at least 50% office presence, offering the opportunity to work with a global team while maintaining strong local collaboration. Join Uber in building a secure future for global mobility and technology.