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Machine Learning Defense Jobs in Arizona (NOW HIRING)

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Machine Learning Defense information

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Arizona?

For Machine Learning Defense jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Arizona look for?

The top searched job categories for Machine Learning Defense jobs in Arizona are:

What cities in Arizona are hiring for Machine Learning Defense jobs?

Cities in Arizona with the most Machine Learning Defense job openings:

Global Red Team AI Engineer, AVP

Tempe, AZ • On-site

MUFG Bank, Ltd.
Banking and Credit Intermediation • 10K+ employees

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Key responsibilities

  • Support the planning and execution of Red Team, Purple Team, adversary simulation, and control validation engagements.

  • Perform hands-on offensive security testing across various environments and develop tools and techniques to emulate adversaries.

  • Support adversarial testing of AI and LLM systems, analyze AI-enabled applications for security risks, and document findings with remediation guidance.


MUFG rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.
The Assistant Vice President, Red Team & AI Security supports the planning, execution, and reporting of adversary simulation, control validation, and AI security assessment activities across the enterprise. This role is hands-on and operator-focused, combining offensive security tradecraft with AI analysis responsibilities to help identify exploitable weaknesses, validate defensive controls, and translate findings into practical remediation guidance.
Key Responsibilities
Operational Planning & Engagement Support
  • Support the planning and execution of Red Team, Purple Team, adversary simulation, and control validation engagements.
  • Assist with target research, scope development, rules of engagement, infrastructure preparation, and operational documentation.
  • Coordinate with defensive, engineering, risk, and business stakeholders to ensure engagements are well-structured and findings are actionable.

Red Team Execution
  • Perform hands-on offensive security testing across network, endpoint, identity, application, cloud, and selected physical attack surfaces.
  • Execute techniques such as reconnaissance, initial access validation, privilege escalation, lateral movement, persistence simulation, and control evasion in approved environments.
  • Develop, modify, and safely use scripts, payloads, tooling, and tradecraft to support realistic adversary emulation.

AI Security Responsibilities
  • Support adversarial testing of AI and LLM systems, including prompt injection, data leakage, tool misuse, model behavior abuse, and guardrail bypass scenarios.
  • Analyze AI-enabled applications, copilots, automation workflows, agents, plugins, APIs, and data integrations for security and abuse risks.
  • Document AI security observations in clear business and technical terms, including risk impact, exploitability, control gaps, and recommended remediation.
  • Use AI-assisted analysis responsibly to accelerate research, data review, reporting, detection mapping, and test-case development.
  • Track emerging AI threats, attacker use of AI, and relevant industry guidance to inform Red Team scenarios and validation priorities.

Threat Tradecraft & Capability Development
  • Drive research into real-world threat actor TTPs and emerging AI-enabled attack techniques.
  • Sponsor development of red team tools, scripts, and repeatable methodologies to increase realism, scale, and efficiency.
  • Establish standards for tooling governance, safe use, and audit readiness.

Reporting, Documentation & Collaboration
  • Prepare engagement notes, evidence packages, attack narratives, findings, remediation guidance, and executive-ready summaries.
  • Map observations to relevant frameworks, controls, detections, and business risk themes where appropriate.
  • Partner with blue team, cyber defense, engineering, governance, and application teams to validate remediation and improve control effectiveness.

Qualifications
Experience
  • 4+ years of experience in offensive security, red team operations, penetration testing, application security, cloud security, cyber defense, or related security assessment roles.
  • Hands-on experience supporting security assessments, adversary emulation, control validation, vulnerability analysis, or threat-informed testing.
  • Exposure to AI security, LLM testing, AI governance, data security, machine learning workflows, or secure use of AI-assisted tools is preferred.

Technical Skills
  • Working knowledge of common attack techniques across Windows, Linux, Active Directory, web applications, APIs, cloud platforms, and identity systems.
  • Ability to write or modify scripts and tools using languages such as Python, PowerShell, Bash, JavaScript, or similar.
  • Familiarity with offensive security tools, vulnerability validation, command-and-control concepts, detection engineering concepts, and MITRE ATT&CK mapping.
  • Understanding of AI security risks such as prompt injection, excessive agency, insecure tool use, sensitive data exposure, insecure plugins, model abuse, and AI-enabled social engineering.

Education & Certifications (Preferred)
  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, Data Science, or equivalent experience.
  • Security certifications such as OSCP, GPEN, GWAPT, GCIH, GCIA, GSEC, CISSP, or similar are preferred but not required.
  • Familiarity with regulatory, risk, or control frameworks such as NIST, FFIEC, GLBA, SOX, PCI, or internal control standards is beneficial.

Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.
The typical base pay range for this role is as follows:
  • New York / New Jersey: $90k-$153k
  • Non-New York / New Jersey: $90k-$141k

depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
Our hybrid work schedule is four days on-site and work remotely one day per week.
MUFG Benefits Summary
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.

What MUFG employees say

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About MUFG

Sourced by ZipRecruiter

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 6th largest financial group in the world. Across the globe, we're 160,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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