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Anti-Fraud & Abuse Engineer

Perplexity

New York City Metropolitan AreaOn Site

Original Job Summary

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

Review fraud detection algorithms.
Study threat intelligence frameworks.
Practice system monitoring tools.
Update knowledge on adversarial ML.

Behavioral Questions

Describe handling unexpected security challenges.
Explain teamwork in crisis situations.
Discuss adapting to evolving threats.
Share a time you improved processes.