Uber · 12 hours ago
Senior Applied Scientist, AI Security
Sunnyvale, CA
Full-time
Onsite
Senior Level
$190K/yr - $211K/yr
5+ years expUber is focused on establishing itself as the industry model for secure and trustworthy AI ecosystems. The Senior Applied Scientist, AI Security will lead the development of secure AI/ML-based solutions, focusing on safeguarding the AI lifecycle from internal infrastructure to user-facing products.
TransportationSoftwareAppsLogisticsMobile AppsRide Sharing
Responsibilities
Develop and evaluate large-scale machine learning model systems in production with a focus on adversarial robustness, input validation, and output sanitization
Propose, design, and analyze large-scale online experiments to test safety guardrails and detect ecosystem vulnerabilities
Define and implement metrics to measure security posture, attack surface reduction, and product performance
Present findings on AI risks, red-teaming results, and mitigations to business and executive audiences
Collaborate with engineers and product managers to implement secure-by-design ideas and plan future roadmaps
Optimize and secure retrieval-augmented generation (RAG) systems against prompt injection, indirect injection, and data exfiltration
Fine-tune large language models (LLMs) to improve safety alignment, resistance to jailbreaking, and operational efficiency
Implement secure agentic workflows to streamline processes, ensuring safe tool-use and authorization for both internal employee agents and external user agents
Qualification
Required
Ph.D., MS or Bachelors degree in Statistics, Economics, Operations Research, Computer Science, Engineering, or other quantitative field
If Ph.D or M.S. degree, a minimum of 2+ years of industry experience as an Applied Scientist or equivalent
Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
Hands-on experience building and deploying ML models
Knowledge of experimental design and analysis
Experience with exploratory data analysis, statistical analysis and testing, and model development
Ability to use a language like Python or R to work efficiently at scale with large data sets
Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop
Preferred
Knowledge in modern machine learning techniques applicable to AI Security, Adversarial ML (AML), and model robustness
Advanced understanding of statistics, causal inference, and machine learning
5+ years of industry experience as an Applied Scientist or equivalent
Experience designing and analyzing large scale online experiments
Experience working with large scale data sets using technologies like Hive, Presto, and Spark
Experience with synthetic data generation for red-teaming and adversarial training
Proficiency in fine-tuning and optimizing large language models (LLMs) for safety (e.g., RLHF, DPO)
Experience in securing retrieval-augmented generation (RAG) systems
Familiarity with secure agentic workflows, sandboxing, and their applications in internal and external AI systems
Benefits
You will be 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
You will also be eligible for various benefits
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10001+ employees
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B
Leadership Team
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
Business – Baltimore Sun
2026-02-09
Company data provided by crunchbase