**About the Role**

You will drive the development and operations of security services and frameworks that protect Uber's user-facing products and core platforms. This role is ideal for a strong software engineer with a machine learning background who is excited to apply ML/GenAI techniques to real-world security problems at scale.

The security landscape evolves constantly-and with the rise of ML/GenAI and the growing volume of heterogeneous signals (logs, events, graph data, identity signals, endpoints, network telemetry), the attack surface expands just as quickly. You will design and build robust, scalable systems and data pipelines that enable detection, investigation, and automated response-turning noisy telemetry into actionable security insights. You'll collaborate closely with security leadership and partner engineering teams to embed security-by-design across Uber's technology stack.

**What the Candidate Will Need / Bonus Points**
---- What the Can...