Adversarial AI, Research Engineer
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Job Description
Adversarial AI & Research Engineer at Salesforce ensuring AI security through innovative testing methodologies. Leading red team assessments and building security tools for AI systems.
Responsibilities:
- Lead adversarial testing of AI by designing, scoping, and executing red team assessments against 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.
Requirements:
- 6+ years of experience in offensive security (red teaming, application security, penetration testing, vulnerability research, etc.)
- 1+ 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.
Benefits:
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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