Senior ML Engineer Job at Uber (Seattle)

Senior ML Engineer

Uber

Location:
United States , Seattle ▼
San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

202000.00 - 224000.00 USD / Year

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Job Description:

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 without slowing them down. As a Senior ML Engineer, you’ll translate ambiguous business and security needs into concrete ML problems, design and iterate on solutions, and take them end-to-end into production. This is greenfield work at the intersection of ML, security, and infrastructure, shaping how Uber secures AI at scale.

Job Responsibility:

Translate business and security needs into well-defined ML problems
Develop, iterate, and productionize ML models that drive risk-adaptive decisions in real-time
Engineer features from Uber’s risk systems, logs, and contextual signals
Integrate ML systems into Uber’s critical access pathways (containers, APIs, gateways, data)
Collaborate across Security, Risk, and Infra teams to deliver scalable, production-ready solutions
Provide leadership by mentoring junior engineers, evangelize ML best practices, and help shape ML strategy within AI Security

Requirements:

5+ years experience in formulating ML problems from ambiguous business requirements, especially in risk, fraud, or security contexts
Proficiency across a broad range of ML algorithms: tree-based models (XGBoost, LightGBM), classical statistical models (logistic regression, SVMs), and deep learning architectures (CNNs, RNNs, Transformers), with the ability to select and apply the right approach based on context and data characteristics
Hands-on experience with feature engineering, model development, and productionization of ML pipelines
Proficiency in PyTorch, TensorFlow, or similar ML frameworks, and in Python or comparable languages for scalable, production-grade systems

Nice to have:

Proven ability to own ML systems end-to-end: from requirement discovery → feature design → modeling → deployment
Deep experience with advanced ML techniques, including ensemble methods, neural networks, graph-based models, and handling challenges like imbalanced data, feedback loops, and iterative retraining
Familiarity with large-scale data/infra systems (Kafka, Pinot, Hive, Cassandra, Spark, Flink)
Background in access control, authentication, or enterprise security systems
Track record of technical leadership: mentoring engineers, driving cross-functional initiatives, or shaping ML/security strategy

What we offer:

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits (details at provided link)

Additional Information:

Job Posted:
March 04, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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