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Anti-Fraud & Abuse Engineer
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Security @ 3 Machine Learning @ 3 Communication @ 3 Fraud @ 3 LLM @ 3Details
Perplexity is seeking a highly skilled, experienced and hands-on Anti Fraud & Abuse Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You will be responsible for designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of our products and services.
Responsibilities
- Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse
- Perform adversary hunting to detect abuse and misuse of our products and services
- Analyze how our products and services are being misused or abused
- Track and mitigate cost impacts of fraud and abuse across our technology stack
- Research and anticipate emerging abuse techniques to stay ahead of evolving threats
- Generate actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor tactics targeting LLM systems
- Build and maintain relationships with external threat intelligence partners and industry communities
- Establish best practices, tools, and processes for our fraud and abuse detection program
Requirements
- Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems
- Background in security, adversarial machine learning, threat intelligence, or fraud investigations
- Familiarity with adversarial tactics, techniques, and procedures (TTPs) targeting AI systems
- Excellent communication skills, able to present to both technical and non-technical audiences
Benefits
- Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
- Equity: In addition to the base salary, equity is part of the total compensation package.
- Our cash compensation range for this role is $200,000 - $280,000.