Anti-Fraud & Abuse Engineer @ Perplexity
placeNew York City Metropolitan Area
attach_money $300,000
businessOn Site
scheduleFull Time
Posted 17 hours ago
Your Application Journey
Interview
Email Hiring Manager
****** @perplexity.ai
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Job Details
About Perplexity
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. With over $1B raised from visionary investors, our platform handles over 780 million queries monthly.
Role Overview
The Anti-Fraud & Abuse Engineer at Perplexity is responsible for designing, implementing, and operating advanced monitoring and detection systems that prevent fraudulent behaviors and abuse of our services.
Responsibilities
- Design, build, and operate monitoring systems to detect fraud.
- Perform adversary hunting to detect product abuse.
- Analyze misuse of products and services and mitigate cost impacts.
- Research emerging abuse techniques and generate intelligence reports.
- Collaborate with external threat intelligence partners.
- Establish best practices for fraud and abuse detection programs.
Qualifications
- Experience in designing and operating fraud detection systems.
- Background in security, adversarial machine learning, or threat intelligence.
- Familiarity with adversarial tactics targeting AI systems.
- Excellent communication skills for technical and non-technical audiences.
Compensation & Benefits
Cash compensation ranges from $250,000 to $350,000 with potential equity options. Comprehensive health, dental, and vision insurance and a 401(k) plan are provided.
Key skills/competency
- Fraud Detection
- Security Monitoring
- Adversarial Hunting
- Threat Intelligence
- Machine Learning
- Abuse Prevention
- Risk Mitigation
- System Design
- Data Analysis
- Communication
How to Get Hired at Perplexity
🎯 Tips for Getting Hired
- Customize your resume: Highlight fraud detection and security skills.
- Research Perplexity: Understand their AI platform and vision.
- Demonstrate impact: Provide metrics from past projects.
- Prepare for interviews: Focus on adversarial ML and security.
📝 Interview Preparation Advice
Technical Preparation
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Review fraud detection algorithms.
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Study threat intelligence frameworks.
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Practice system monitoring tools.
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Update knowledge on adversarial ML.
Behavioral Questions
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Describe handling unexpected security challenges.
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Explain teamwork in crisis situations.
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Discuss adapting to evolving threats.
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Share a time you improved processes.
Frequently Asked Questions
What technical skills are required for the Anti-Fraud & Abuse Engineer at Perplexity?
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How does Perplexity approach fraud and abuse detection?
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What experience levels does Perplexity look for in an Anti-Fraud & Abuse Engineer?
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What are the communication requirements for this role at Perplexity?
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How is performance measured for the Anti-Fraud & Abuse Engineer at Perplexity?
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