As a Senior ML Engineer on Uber’s AI Security team in Seattle or San Francisco, you will work at the intersection of machine learning and security to develop dynamic, data-driven systems that enhance Uber’s Zero Trust Architecture. Your role involves translating ambiguous business needs into concrete ML problems, designing and iterating on models for real-time risk-adaptive decisions, and integrating these solutions into critical access pathways like containers, APIs, and gateways. You will collaborate with Security, Risk, and Infrastructure teams to deliver scalable, production-ready systems while mentoring junior engineers and evangelizing best practices in ML. The ideal candidate has extensive experience in formulating ML problems from ambiguous requirements, proficiency in PyTorch or TensorFlow, and hands-on skills in feature engineering and model deployment. Familiarity with large-scale data infrastructure like Kafka, Pinot, and Spark is also essential, as well as a background in access control and enterprise security systems.
Translate ambiguous business and security needs into concrete ML problems.
Develop and productionize real-time ML models for risk-adaptive decisions.
Engineer features from Uber’s risk systems, logs, and contextual signals.
Integrate ML systems into critical access pathways at Uber.
Mentor junior engineers and evangelize ML best practices within the team.
What we're looking for
5+ years experience translating ambiguous business/security needs into ML problems.
Proficient in a broad range of ML algorithms and frameworks (e.g., PyTorch, TensorFlow).
Hands-on experience with feature engineering, model development, and productionization.
Deep expertise in advanced ML techniques like ensemble methods and neural networks.
Familiarity with large-scale data infrastructure systems such as Kafka, Spark, and Flink.
Background in access control, authentication, or enterprise security systems.
Market check
Salary context
This
$202,000–$202,000
range sits above
70%
of similar postings on FindRole.
Peer median band
$129,000–$225,100
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,500–$216,656
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
Uber currently has
30 open roles
on FindRole.
Listed pay typically runs
$180,000–$180,000
across 17 roles with salary data.