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Job Category
Data

Job Details

About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

• 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

• Several years of experience in responsible/ethical AI practice
• 5-7 years of relevant experience in Data Science, Software Engineering, AI ethics, AI research, or similar roles
• Experience designing and conducting ethical adversarial testing to identify harms such as bias/fairness, toxicity, mis and disinformation, data leakage and privacy violations, and hallucinations.
• Experience creating heuristic-based detection logic and rules for identifying anomalous or suspicious activity in systems and networks (e.g. log analysis, user behavior analytics.)
• Experience using SQL and relational databases. Ability to use Python, R, or other scripting languages to perform data analysis at scale.
• Experience with problem-solving and troubleshooting complex issues with an emphasis on root-cause analysis.
• Experience in analyzing complex, large-scale data sets and presenting findings to technical and non-technical audiences.
• Proven organizational and execution skills within a fast-paced, multi-stakeholder environment.
• Experience working in a technical environment with a broad, cross-functional team to drive results, define requirements, coordinate resources from other groups (design, legal, etc.), and deliver key milestones
• Excellent written and oral communication skills, as well as interpersonal skills, including the ability to articulate technical concepts to both technical and non-technical audiences.
• Works well under pressure, and is comfortable working in a fast-paced, ever-changing environment.