Senior Applied Scientist, AI Security
Uber Sunnyvale, CA Full-time 2/18/2026 $190,000 - $211,000 a year
Master's with 2+ Years of Experience
Approval 99.3%•Total filings 920•New hires 237•
💎 Strong Sponsor
•FY 2025Job Description
This role focuses on developing secure AI/ML-based solutions at Uber, emphasizing the protection of the AI lifecycle and ensuring model integrity. The candidate will lead efforts to evaluate security controls for large-scale machine learning models and enhance the safety of AI systems against adversarial attacks.
Requirements
- Ph.D., MS or Bachelor's 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.
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.
Benefits
- Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.
Is this job posting expired or no longer available?