Uber
Join to apply for the
Senior ML Engineer - AI Security
role at
Uber 3 days ago Be among the first 25 applicants Join to apply for the
Senior ML Engineer - AI Security
role at
Uber About The Role
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. About The Role
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.
Basic Qualifications
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. 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.
Preferred Qualifications
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 The Candidate Will Do
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.
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Get notified about new Machine Learning Engineer jobs in
San Francisco, CA . Machine Learning Data Scientist, Forecasting
San Francisco, CA $149,998.00-$250,000.00 3 weeks ago San Bruno, CA $117,000.00-$234,000.00 2 weeks ago San Francisco, CA $140,000.00-$175,000.00 1 day ago Research Engineer - Machine Learning (ML)
San Francisco, CA $140,000.00-$235,000.00 3 days ago San Francisco, CA $180,000.00-$240,000.00 1 month ago San Francisco, CA $140,000.00-$180,000.00 7 months ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)
Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $160,000.00-$185,000.00 2 weeks ago San Francisco, CA $100,000.00-$180,000.00 1 year ago ML Research Scientist Intern (Fall 2025)
Software Engineer, Infrastructure, Early Career
San Francisco, CA $180,000.00-$270,000.00 4 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $190,000.00-$355,000.00 6 days ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Francisco, CA $100,000.00-$300,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 2 months ago San Francisco County, CA $180,000.00-$250,000.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML
San Francisco, CA $176,000.00-$220,000.00 2 months ago San Mateo, CA $140,000.00-$210,000.00 2 months ago Machine Learning Engineer, Monetization Engineering
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Senior ML Engineer - AI Security
role at
Uber 3 days ago Be among the first 25 applicants Join to apply for the
Senior ML Engineer - AI Security
role at
Uber About The Role
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. About The Role
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.
Basic Qualifications
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. 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.
Preferred Qualifications
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 The Candidate Will Do
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.
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Get notified about new Machine Learning Engineer jobs in
San Francisco, CA . Machine Learning Data Scientist, Forecasting
San Francisco, CA $149,998.00-$250,000.00 3 weeks ago San Bruno, CA $117,000.00-$234,000.00 2 weeks ago San Francisco, CA $140,000.00-$175,000.00 1 day ago Research Engineer - Machine Learning (ML)
San Francisco, CA $140,000.00-$235,000.00 3 days ago San Francisco, CA $180,000.00-$240,000.00 1 month ago San Francisco, CA $140,000.00-$180,000.00 7 months ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)
Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $160,000.00-$185,000.00 2 weeks ago San Francisco, CA $100,000.00-$180,000.00 1 year ago ML Research Scientist Intern (Fall 2025)
Software Engineer, Infrastructure, Early Career
San Francisco, CA $180,000.00-$270,000.00 4 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $190,000.00-$355,000.00 6 days ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Francisco, CA $100,000.00-$300,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 2 months ago San Francisco County, CA $180,000.00-$250,000.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML
San Francisco, CA $176,000.00-$220,000.00 2 months ago San Mateo, CA $140,000.00-$210,000.00 2 months ago Machine Learning Engineer, Monetization Engineering
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr