Adversarial AI, Research Engineer

🕒 May 16

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $148.5k - $223.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• time off programs • medical • dental • vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program