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Senior Applied Scientist, AI Security

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Uber

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Location:
United States , Sunnyvale

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

190000.00 - 211000.00 USD / Year
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Job Description:

Our mission is to make Uber the industry model for a secure and trustworthy AI ecosystem through differentiated, highly scalable, and extensible products, engineering standards, policy, and open communications. We are focusing on building robust defense mechanisms that protect the entire AI lifecycle—from internal infrastructure to external user-facing products. This includes securing the technology platform to protect model integrity, prevent data leakage, and enable safe business velocity. Lead efforts within the organization to drive the development of secure AI/ML-based solutions in support of user-facing products, internal downstream services, or infrastructure tools and platforms used across Uber.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • 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
  • Eligible for various benefits (see link)

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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