Global Red Team Ai Engineer, Analyst

MUFG Oceania

Base: $98k - $123k; bonus/equity: discretionary pe...
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Bachelor's degree in computer science
Hands-on experience with agentic ai
Proficiency with pytorch or tensorflow
** MUFG Oceania is seeking a Global Red Team AI Engineer, Analyst, focused on adversary-emulation activities involving AI technologies. This entry-level position targets candidates with a computer science background and practical coding experience and offers a hybrid work model allowing for one day of remote work per week. **

Job Summary

  • The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day.
  • This role supports Red Team operations by executing adversary-emulation activities focused on AI-enabled technologies to identify risks across the enterprise.
  • The position offers a competitive base pay range between $98K - $123K along with comprehensive health, wellness, and retirement benefits.

Matching Summary

Match Score: 75

** MUFG Oceania is seeking a Global Red Team AI Engineer, Analyst, focused on adversary-emulation activities involving AI technologies. This entry-level position targets candidates with a computer science background and practical coding experience and offers a hybrid work model allowing for one day of remote work per week. **

Salary

Base: $98K - $123K; Bonus/Equity: Discretionary performance-based bonus eligible; Benefits: Comprehensive health, wellness, retirement plans, and paid leave

Skills & Requirements

Must-have

  • Bachelor's degree in Computer Science
  • Hands-on experience with agentic AI
  • Proficiency with PyTorch or TensorFlow
  • Experience with custom ML model development
  • Strong analytical skills and adversarial thinking

Nice-to-have

  • Familiarity with REST APIs and OAuth/OIDC
  • Experience with CI/CD pipelines and DevOps
  • Knowledge of enterprise cloud AI platforms
  • Willingness to learn offensive security skills
  • Collaboration with defensive engineering teams

Key Requirements

  • Bachelor's degree in Computer Science or equivalent
  • Practical coding experience through internships or projects
  • Must be eligible for employment under US state laws

Work Rights

Not specified

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