Adversarial Machine Learning Engineer

C-Serv

Boise, ID

JOB DETAILS
SKILLS
Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Computer Security, Detail Oriented, Injections, Internet Security, Life Insurance, Machine Learning, Machine Tool, Open Source, Penetration Testing, Psychiatry and Mental Health, Python Programming/Scripting Language, Scripting (Scripting Languages), Stress Testing, Team Player, Test Case
LOCATION
Boise, ID
POSTED
25 days ago

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

About the Company

C

C-Serv