This role involves driving the development and operations of security services and frameworks to protect Uber's user-facing products and core platforms. The ideal candidate is a strong software engineer with a machine learning background, eager to apply ML/GenAI techniques to real-world security challenges. The position requires designing and building scalable systems and data pipelines for security analytics. Collaboration with security leadership and engineering teams is essential to embed security-by-design across Uber's technology stack.

• BS/MS in Computer Science or a related field
• 7+ years of industry experience in a software development environment
• Proficiency in one or more of Golang, SQL, Python
• Hands-on experience building and operating distributed systems
• Hands-on experience with machine learning, including feature engineering and deploying models
• Experience leading projects with global, cross-functional stakeholders
• Experience mentoring and guiding junior engineers

• Design, develop, and operate software and services that improve Uber's security posture.
• Build reliable data ingestion, transformation, and feature pipelines to support security analytics.
• Help take machine learning models from experimentation to deployment, ensuring performance and scalability.
• Maintain high engineering standards through design reviews, code reviews, and testing.
• Partner with teams like network operations, incident response, and compliance for cohesive security outcomes.

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.