Adversarial Machine Learning Engineer

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    "type": "—",
    "title": "Adversarial Machine Learning Engineer",
    "posted": "2026-04-22",
    "company": "C-Serv",
    "applyUrl": "https://apply.workable.com/c-serv/j/F1E53FE9FE/apply",
    "location": "Portland, United States",
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    "descriptionText": "Description\n\n The Opportunity\n\nWe are building a dedicated AI Red Team to rigorously test and harden enterprise scale AI products.\n\nWe are looking for an adversarial machine learning specialist who thinks like an attacker.\n\nThis 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.\n\nThis is a hands on technical role at the core of AI security.\n\n What You’ll Do\n\n Conduct adversarial testing across LLM and AI based systems\n Execute real world attack simulations, including:\n Prompt injection\n Jailbreaking and guardrail bypass\n Data exfiltration attempts\n Model inversion and evasion techniques\n RAG manipulation\n Develop scripts and tooling to automate attack scenarios\n Analyse model behaviour under adversarial pressure\n Identify systemic vulnerabilities in:\n APIs\n Embedding pipelines\n Vector databases\n Fine tuned model implementations\n Collaborate with engineering teams to validate remediation\n Document findings clearly and concisely\n\nYou will help ensure AI systems are resilient before they are deployed at scale.\n\n Requirements\n\n What We’re Looking For\n\n Core Technical Skills\n\n Strong experience in adversarial ML or AI security research\n Experience working with LLM based systems (OpenAI, Anthropic, open source models, etc.)\n Deep understanding of:\n Prompt injection techniques\n Model jailbreak methodologies\n AI system exploitation vectors\n Strong Python skills\n Experience building custom attack tooling or experimentation frameworks\n\n AI Systems Knowledge\n\n Familiarity with:\n\n RAG architectures\n Vector databases\n Model fine tuning workflows\n API based model deployments\n Understanding of model safety mechanisms and guardrails\n\n Nice to Have\n\n Background in cybersecurity or penetration testing\n Familiarity with OWASP LLM Top 10\n Experience working in enterprise environments\n\n Who You Are\n\n Curious and relentless\n Comfortable thinking like an attacker\n Creative in finding non obvious vulnerabilities\n Detail oriented but fast moving\n Comfortable operating in ambiguity\n Independent but collaborative\n\nYou don’t just run test cases — you design new ones.\n\n Benefits\n\n Comprehensive Private Medical Coverage\n Support for Mental Health Expenses\n Life Insurance Options\n Attractive Compensation Package"
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