Adversarial Testing Engineer

3 weeks ago

Toronto, Ontario, Canada TD Full time
Job Description

At TD, we're seeking a highly skilled Adversarial Testing Engineer to join our team. As an Adversarial Testing Engineer, you will be responsible for developing and implementing test tools that evaluate the resilience of AI-enabled systems to adversarial attacks.

Responsibilities

  • Develop and implement test tools that evaluate the resilience of AI-enabled systems to adversarial attacks.
  • Conduct red teaming exercises to assess the security of AI models, AI-enabled systems, and operationally realistic scenarios.
  • Collaborate with industry subject matter experts to identify potential threats and vulnerabilities and create test tools that assess their impact and likelihood.
  • Builds and maintains tools, scripts, and frameworks to automate the evaluation and resilience of AI-enabled systems to adversarial attacks.
  • Work on solutions to enhance defense mechanisms, such as anomaly detection, intrusion detection systems, and threat intelligence for AI models.
  • Generate comprehensive reports and documentation of red teaming exercises, including findings, vulnerabilities, and recommendations for remediation.
  • Stay up-to-date with the latest advancements in AI to continuously improve attack techniques and defense strategies.
  • Collaborate with cross-functional teams, including cybersecurity experts, AI model developers, AI model users, and test engineers, to provide insights and recommendations for improving adversarial AI defenses.

Requirements

  • Bachelor's/Master's degree in computer science, computer engineering, or relevant field.
  • Minimum 5+ years in IT.
  • 2+ Years in AI.
  • 3+ Years Azure Cloud Engineer.
  • 3+ years in Adversary experience.
  • Strong programming skills, especially in languages like Python and C++.
  • Proficiency in machine learning and AI technologies.
  • Experience with evaluating AI models and creating test harness for offensive use.
  • In-depth knowledge of adversarial AI concepts, threats, and defensive measures.
  • Experience with penetration testing and ethical hacking.
  • Familiarity with adversarial AI and cybersecurity frameworks and standards (e.g., NIST, MITRE ATT&CK, MITRE ATLAS).
  • Experience with Model Evasion, Extraction, Inversion, Poisoning attacks and LLM Prompt injection.
  • Strong communication skills to articulate findings and recommendations effectively.
  • Demonstrated expertise in Adversarial AI threat landscape.
  • Experience with Enterprise Data Lakes, relational database, complex data structures, data analysis tools.

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