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Adversarial Machine Learning EngineerC-serv • Portland, Oregon, United States
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Adversarial Machine Learning Engineer

C-serv
  • US
    Portland, Oregon, United States
  • US
    Portland, Oregon, United States
Postuler Maintenant

À propos

Description The Opportunity We are building a dedicated AI Red Team to rigorously test and harden enterprise-scale AI products. We are looking for an adversarial machine learning specialist who thinks like an attacker. This role focuses on identifying vulnerabilities in LLM-driven systems, breaking model guardrails, exploiting data pathways, and stress-testing AI deployments before they reach enterprise customers. This is a hands-on technical role at the core of AI security.
What You’ll Do
Conduct adversarial testing across LLM and AI-based systems Execute real-world attack simulations, including: Prompt injection Jailbreaking and guardrail bypass Data exfiltration attempts Model inversion and evasion techniques RAG manipulation Develop scripts and tooling to automate attack scenarios Analyse model behaviour under adversarial pressure Identify systemic vulnerabilities in: APIs Embedding pipelines Vector databases Fine-tuned model implementations Collaborate with engineering teams to validate remediation Document findings clearly and concisely
You will help ensure AI systems are resilient before they are deployed at scale.
Requirements What We’re Looking For Core Technical Skills
Strong experience in adversarial ML or AI security research Experience working with LLM-based systems (OpenAI, Anthropic, open-source models, etc.) Deep understanding of: Prompt injection techniques Model jailbreak methodologies AI system exploitation vectors Strong Python skills Experience building custom attack tooling or experimentation frameworks
AI Systems Knowledge
Familiarity with: RAG architectures Vector databases Model fine-tuning workflows API-based model deployments Understanding of model safety mechanisms and guardrails
Nice to Have
Background in cybersecurity or penetration testing Familiarity with OWASP LLM Top 10 Experience working in enterprise environments
Who You Are
Curious and relentless Comfortable thinking like an attacker Creative in finding non-obvious vulnerabilities Detail-oriented but fast-moving Comfortable operating in ambiguity Independent but collaborative
You don’t just run test cases — you design new ones.
Benefits Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package
  • Portland, Oregon, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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