Uber's newly formed AI Security team, part of the Core Security Engineering organization, is building the foundation for dynamic, data-driven security systems. We're evolving Uber's Zero Trust Architecture (ZTA) to be more risk-adaptive across authentication and authorization, moving beyond static rules and manual approvals toward real-time, ML-driven access decisions that secure both humans and AI agents.
As an ML Engineer, you'll help translate business and security needs into concrete ML problems, build models and features, and take them into production. You'll be part of a team working on greenfield projects at the intersection of ML, security, and infrastructure, shaping how Uber secures AI at scale.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Support framing business and security problems as ML tasks.
- Build and iterate ML models that enable risk-adaptive, real-time decisions.
- Engineer features from Uber's risk systems, logs, and contextual signals.
- Deploy and maintain ML pipelines in production, ensuring reliability and scalability.
- Collaborate with senior engineers to integrate ML into Uber's authentication and authorization systems.
- 3+ years experience building and deploying ML models in production, with hands-on work in feature engineering, training, and evaluation.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar).
- Strong foundation in ML algorithms: tree-based models (XGBoost, LightGBM), classical methods (logistic regression, SVMs), and exposure to neural networks (CNNs, RNNs, Transformers).
- Ability to analyze business/security requirements and support translating them into ML use cases.
- Experience with risk, fraud, anomaly detection, or security-related ML systems.
- Familiarity with large-scale data/infra systems (Kafka, Hive, Spark, Flink, Pinot).
- Exposure to handling challenges such as imbalanced data, feedback loops, or iterative retraining.
- Strong communication skills and ability to work cross-functionally with infra, risk, and security teams.
About the company
Company website•Internet Marketplace Platforms
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.