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Arena Intelligence

Software Engineer, Anti-Abuse

Bay Area (Remote)$180k–$300kfulltimemidAdded 2 weeks ago

About this role

Arena Intelligence is hiring a Security Engineer, Anti-Abuse to build foundational detection and enforcement systems protecting their AI evaluation platform from misuse. You'll own the strategy and implementation for detecting bots, coordinated voting fraud, jailbreaks, and high-severity harms while balancing false-positive costs and user fairness.

What you'll do

  • Design and operate detection systems for bots, sybils, coordinated inauthentic voting, and rating manipulation to maintain leaderboard integrity
  • Build reversible and auditable enforcement primitives including rate limits, challenges, shadowbans, and account actions
  • Detect inference abuse and cost exploitation at the platform layer, plus jailbreak and multi-provider misuse detection
  • Develop abuse monitoring and detection for new product launches including web search, web fetch, and live deployment
  • Build investigator tooling and production systems for highest-severity harms (CSAM/NCII, violent extremism, self-harm) with legal reporting pipelines
  • Partner with Security, Policy, Legal, and model providers on shared attack surfaces and enforcement strategy

What they're looking for

  • 6+ years production software engineering under adversarial conditions
  • Shipped experience in trust & safety, anti-abuse, anti-fraud, anti-spam, integrity, or risk engineering
  • Strong SQL and data analysis for pattern-finding and investigation
  • Adversarial mindset with ability to articulate novel attacks before designing defenses
  • Backend proficiency in Node.js, TypeScript, Python, or Go
  • LLM-specific security including jailbreaks, prompt injection, and tool-use abuse (bonus)
  • Experience securing voting, rating, or marketplace platforms against manipulation (bonus)
  • Excellent cross-functional communication with engineering, product, policy, and leadership
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Arena Intelligence

Arena Intelligence builds a platform for evaluating AI model performance through real-world testing and human preference data, powering insights for AI labs and enterprises. The company is hiring data engineers, security engineers, machine learning scientists, and customer-facing technical roles to scale its evaluation infrastructure, protect against misuse, and deliver custom solutions to customers.

View all jobs at Arena Intelligence

Likely interview questions

  • Walk us through a time you detected and stopped a novel abuse pattern. How did you identify it, and what enforcement approach did you take?
  • Describe your experience building detection systems for coordinated inauthentic behavior (bots, sybils, voting rings). What signals did you use, and how did you balance detection accuracy against false positives?