Remote Adversarial ML Engineer — LLM Security & Red Team

C-Serv Global Ltd; Canada; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote Canada

Growth opportunities

Competitive compensation

Job summary

C-Serv Global Ltd. is seeking an Individual Contributor to join an existing client team focused on Guardrails and AI red-teaming for foundation models. You will tackle edge-case vulnerabilities, design and train ML models and Small Language Models in a security context.

You will work hands-on across model, data pipeline, and API layers, with a focus on reproducible findings, remediation guidance, and retesting. Join a values-driven, fully remote team across Canada.

Qualifications

• Proficient in Python with ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience designing and executing adversarial attacks and defenses.
• Strong threat-modeling and security evaluation skills.

Responsibilities

• Hands-on adversarial testing across model, application, and data pipeline.
• Translate findings into actionable remediation steps and retest.
• Collaborate with client's Guardrails/AI red-teaming team and deliver clear risk communications.
• Design and train ML/SLM models to improve robustness.
• Maintain up-to-date knowledge of adversarial ML and GenAI security research.

Skills

Python

ML frameworks

LoRA/QLoRA

Adversarial ML

Threat modeling

ML security

Explainable AI

Communication

Tools

ART (Adversarial Robustness Toolbox)

CleverHans

Foolbox

Job description

C-Serv Global Ltd. is seeking an Individual Contributor to join an existing client team focused on Guardrails and AI red-teaming for foundation models. You will tackle edge-case vulnerabilities, design and train ML models and Small Language Models in a security context.

You will work hands-on across model, data pipeline, and API layers, with a focus on reproducible findings, remediation guidance, and retesting. Join a values-driven, fully remote team across Canada.