Technical AI Ethicist / AI Red Teamer

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Senior/Lead Technical AI Ethicist / [AI Red Teamer]

Job Details:

Salesforce’s Office of Ethical and Humane Use is seeking a Technical AI Ethicist with an adversarial mindset to contribute to our ethical red teaming practice. In this role, you will help us gain a deep understanding of how our models and products may be leveraged by malign actors or through unanticipated use to cause harm. In addition to adversarial testing, you will analyze current safety trends, and develop solutions to detect and mitigate risk, while working cross-functionally with security, engineering, data science, and AI Research teams. You will bring technical depth to the assessment of AI products, models, and applications, in order to identify the best technical mitigations to identified risks.

The ideal candidate will have technical experience in artificial intelligence and in responsible / ethical AI. 

Responsibilities:

• Adversarial Testing

  • Provide technical leadership in designing, prototyping, and implementing comprehensive adversarial testing strategies, including both automated and manual adversarial testing approaches.

  • Mentor and guide stakeholder teams on adversarial testing best practices, helping them develop the skills to conduct their own testing effectively.

  • Collaborate with cross-functional teams to integrate OEHU adversarial testing frameworks into the AI development lifecycle.

• Safety and Robustness

  • Contribute to the development of detection models, safety guardrails, and other proactive measures to prevent and mitigate risks posed by bad actors. 

  • Research and implement state-of-the-art techniques for enhancing AI safety and robustness, drawing from both open-source and internal tools.

  • Collaborate with Salesforce’s AI Research team on novel approaches to model safety.

• Technical Research and Implementation

  • Write clean, efficient, and well-documented code (primarily in Python) to support research efforts and facilitate the evaluation of AI systems.

  • Develop and maintain a repository of reusable code modules and libraries to streamline adversarial testing processes.

• Testing Execution and Collaboration

  • Participate in scoping, documenting, and executing tests with partner teams, including the implementation of mitigations identified during testing. 

  • Test for technical vulnerabilities, model vulnerabilities, and harm/abuse including but not limited to bias, toxicity, and inaccuracy.

  • Participate in labeling test data in partnership with OEHU and partner teams

• Reporting, Documentation, and Continuous Learning

  • Write reports covering the goals and outcomes of testing operations, including significant observations and recommendations.

  • Continuously monitor and analyze emerging threats and vulnerabilities to inform the development of adaptive safety measures.

  • Continue to grow expertise in model safety by keeping up with research in sociotechnical systems, privacy, interpretability/explainability, robustness, alignment, and responsible AI

Qualifications:

• Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Information Assurance, Security, Management Information Systems, Human-Computer Interaction, Engineering, Data Science or a related field. Advanced degree preferred.

• 5-7 years of relevant experience in Software Engineering, AI ethics, AI research, or similar roles

• Experience crea