Uber
Machine Learning Engineer II - AI Security
Uber, San Francisco, California, United States, 94199
Join to apply for the
Machine Learning Engineer II - AI Security
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Uber Join to apply for the
Machine Learning Engineer II - AI Security
role at
Uber About The Role
Do you have the right skills and experience for this role Read on to find out, and make your application.
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. 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.
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.
Basic Qualifications
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.
Preferred Qualifications
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.
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.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. 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., For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. 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 levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesInternet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. San Francisco, CA $149,998.00-$250,000.00 2 weeks ago San Bruno, CA $117,000.00-$234,000.00 2 weeks ago Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$235,000.00 22 hours 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.) San Francisco, CA $164,700.00-$191,400.00 2 days ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $180,000.00-$270,000.00 4 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $100,000.00-$120,000.00 4 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $190,000.00-$355,000.00 3 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 Machine Learning Engineer, Supportability San Francisco, CA $180,000.00-$318,000.00 5 days ago San Francisco, CA $175,000.00-$250,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Machine Learning Engineer II - AI Security
role at
Uber Join to apply for the
Machine Learning Engineer II - AI Security
role at
Uber About The Role
Do you have the right skills and experience for this role Read on to find out, and make your application.
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. 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.
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.
Basic Qualifications
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.
Preferred Qualifications
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.
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.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. 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., For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. 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 levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesInternet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. San Francisco, CA $149,998.00-$250,000.00 2 weeks ago San Bruno, CA $117,000.00-$234,000.00 2 weeks ago Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$235,000.00 22 hours 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.) San Francisco, CA $164,700.00-$191,400.00 2 days ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $180,000.00-$270,000.00 4 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $100,000.00-$120,000.00 4 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $190,000.00-$355,000.00 3 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 Machine Learning Engineer, Supportability San Francisco, CA $180,000.00-$318,000.00 5 days ago San Francisco, CA $175,000.00-$250,000.00 1 month ago 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