Adversarial Machine Learning Engineer
Résumé du poste par JobGrid
Adversarial Machine Learning Engineer at C-Serv: Calgary, Canada; Hybride; Senior; IT; Ingénieur sécurité. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Calgary, Canada, Hybride
- Role classification: IT, Ingénieur sécurité, Senior
- Source freshness: checked by JobGrid on 2026-05-31.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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.