Uber's Core Security Engineering org is re-imagining how identity is protected and managed by fusing large-scale machine learning with modern agentic AI.
Requirements
- 5+"years building ML or applied data-science solutions, hands-on experience with generative-AI or agentic systems.
- Expert in Python, with proficiency in Go or Java; deep familiarity with ML/LLM frameworks such as PyTorch, TensorFlow, JAX, or LangChain.
- Demonstrated success running ML services in production at large scale and low latency.
- Experience with reinforcement learning, retrieval-augmented generation, or structured tool-use frameworks for AI agents.
- Hands-on work with risk scoring, anomaly detection, or fraud prevention pipelines.
- Familiarity with identity systems (Okta, Entra ID/AAD, SSO, MFA) or enterprise workflow tools (ServiceNow, Airflow) is a plus-but not required.
- Publications, open-source contributions, or patents in ML, GenAI, or security automation.
Responsibilities
- Design and deploy models that fuse behavioral biometrics, device posture, and network context to produce dynamic risk scores and trigger step-up factors or session revocation in real time.
- Architect an LLM-driven orchestration platform that can observe IAM events, plan multi-step remediation or provisioning flows, and take safe actions across systems such as Okta, Active"Directory, Duo, and ServiceNow.
- Productionize models and agents in high-scale, low-latency environments handling millions of auths and thousands of automated tickets per day.
- Build continuous feedback loops so both models and agents learn from outcomes and human approvals.
- Collaborate closely with IAM, SSO, infra, and detection teams to integrate your solutions end-to-end-from real-time decisioning to post-incident forensics.
- Lead design reviews, mentor engineers, and evangelize ML/GenAI best practices across the security and infrastructure orgs.
Other
- Strong communication and leadership skills; proven ability to set technical vision and influence roadmaps.
- All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
- If you have a disability or special need that requires accommodation, please let us know by completing this form .
- Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
- Please speak with your recruiter to better understand in-office expectations for this role.
