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Cybersecurity Researcher: Real-Time Threat Detection & AI

Safety Cybersecurity

Canada

Hybrid

CAD 120,000 - 150,000

Full time

Today
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Job summary

A leading cybersecurity firm in Canada seeks a passionate Cybersecurity Researcher to drive innovations in securing software supply chains. You'll analyze malicious packages, enhance vulnerability data, and develop detection rules that improve customer safety. With competitive compensation of 120,000 to 150,000 CAD and remote work flexibility, this opportunity focuses on meaningful security outcomes and growing in an inclusive environment.

Benefits

Competitive salary
20 days paid vacation
Private Healthcare Plan
Generous equity stock options
Remote work flexibility
Flexible working hours

Qualifications

  • Multi-year experience in cybersecurity research.
  • Deep understanding of package ecosystems including Python, Java, and JavaScript.
  • Experience using LLMs for security research and threat detection.
  • Track record of building automated security detection systems.
  • Comfortable working in fast-paced environments.

Responsibilities

  • Hunt malicious packages across PyPI, npm, and Maven.
  • Enrich vulnerability data and add context for accuracy.
  • Reduce false positives through refined detection logic.
  • Develop AI-driven detection systems with data engineers.
  • Drive research innovation for emerging attacks.
  • Contribute original research through publications and talks.

Skills

Security Research Experience
Ecosystem Expertise
AI-Powered Analysis
Detection Development
Velocity & Collaboration
Job description
A leading cybersecurity firm in Canada seeks a passionate Cybersecurity Researcher to drive innovations in securing software supply chains. You'll analyze malicious packages, enhance vulnerability data, and develop detection rules that improve customer safety. With competitive compensation of 120,000 to 150,000 CAD and remote work flexibility, this opportunity focuses on meaningful security outcomes and growing in an inclusive environment.
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