Note: The job is a remote job and is open to candidates in USA. Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Adversarial AI & Research Engineer will lead adversarial testing and innovate AI attack techniques while building security tooling to enhance the security of AI systems.

Responsibilities

• Lead adversarial testing by designing, scoping, and executing red team assessments across our AI ecosystem using a risk-based prioritization approach to discover and address vulnerabilities before they can be exploited
• Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art
• Build and scale security tooling using an automation-first philosophy, driving initiatives to shift security testing left by sharing purpose-built tools with AI security stakeholders across Engineering, Research, and Ethics
• Serve as a strategic partner across the company, providing an offensive security perspective to guide product development, support corporate governance, and contribute to policies such as Salesforce's Generative AI Security Standard

Skills

• 1+ years of experience in offensive security OR adversarial AI testing (red teaming, application security, penetration testing, vulnerability research, etc.)
• 6+ years of direct, hands-on experience testing the security of AI/ML systems, with a deep understanding of LLM vulnerabilities
• High degree of Python proficiency for tool development, assessment automation, and data analysis
• Proven experience leading complex technical projects and/or mentoring security teams, with exceptional ability to communicate high-stakes technical risks to both engineering and executive audiences
• Advanced degree (MS or PhD) in a relevant field, or a public portfolio of security research including conference presentations, published papers, CVEs, or open-source contributions
• Experience creating or managing large-scale datasets for security testing or machine learning training
• Experience building automated testing frameworks or large-scale evaluation pipelines
• Familiarity with current AI safety research and frameworks like MITRE ATLAS and the OWASP Top 10 for LLMs

Benefits

• Certain roles may be eligible for incentive compensation, equity, and benefits.
• Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

Company Overview

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