Sr. ML Engineer

The security organisation at Uber is dedicated to enabling safe and secure innovation while protecting the communities we serve, both online and in the physical world. Our teams are responsible for protecting both people and their data across intersections of the digital and physical world. The primary objective for the Uber Engineering Security team is to enable the company's technical ambitions while maintaining the highest standards of security and privacy for our customers and partners. As cybersecurity threats evolve, so do we.
We are seeking a highly motivated Senior Machine Learning Engineer to join our Network Security team. In this role, you will define and build systems that improve bot detection and mitigation at a global scale. You will lead the design, development, and deployment of advanced ML models to safeguard Uber's infrastructure from evolving automated threats.
Responsibilities:
Lead the entire ML lifecycle, including data exploration, feature engineering, model development, evaluation, deployment, and monitoring.
Architect and implement high-performance, distributed systems to detect and mitigate automated threats in real-time production environments.
Build robust data pipelines and feature stores to support both real-time and batch inference at scale.
Provide technical direction for ML initiatives, establish engineering best practices, and mentor junior engineers within the team.
Design and analyse large-scale experiments to rigorously evaluate model performance and drive measurable improvements to security KPIs
Requirements:
Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
5+ years of experience building state-of-the-art models with a track record of materially improving key business metrics in production.
Experience in building end-to-end ML systems at scale, from offline experimentation and evaluation to online deployment, monitoring, and feedback loops, in a customer-facing or platform environment.
Proficiency in Python, Go, Java, or comparable languages for scalable, production-grade systems.
Solid fundamentals in data structures, algorithms, system design, and large-scale data systems.
Preferred Qualifications:
Experience in network security, cybersecurity, or bot detection.
Experience with streaming systems and real-time processing frameworks like Apache Flink or Kafka.

Experience
7-11 yrs