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Adversarial Machine Learning Jobs in Surprise, AZ

Tenex

Head of Adversarial Research

Scottsdale, AZ · On-site

$180 - $300/hr

As the Head of Adversarial Research, you will build and run the elite research arm of our ... Experience leveraging AI/Machine Learning for threat intelligence and pattern recognition.

New

Pwc

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...

Citizens

Distinguished Engineer - AI Security

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Secure the full AI and machine learning lifecycle, including data ingestion, model development ... Integrate automated security validation, adversarial testing, and model robustness assessments into ...

Citizens

Distinguished Engineer - AI Security

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Secure the full AI and machine learning lifecycle, including data ingestion, model development ... Integrate automated security validation, adversarial testing, and model robustness assessments into ...

Citizens

Distinguished Engineer - AI Security

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Secure the full AI and machine learning lifecycle, including data ingestion, model development ... Integrate automated security validation, adversarial testing, and model robustness assessments into ...

Citizens

Distinguished Engineer - AI Security

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Secure the full AI and machine learning lifecycle, including data ingestion, model development ... Integrate automated security validation, adversarial testing, and model robustness assessments into ...

All JobsAdversarial Machine Learning JobsAdversarial Machine Learning Jobs in Surprise, AZ

Adversarial Machine Learning information

See Surprise, AZ salary details

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How much do adversarial machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for adversarial machine learning in Surprise, AZ is $20.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $22.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in adversarial machine learning roles?

Adversarial Machine Learning professionals often face the challenge of staying ahead of rapidly evolving attack techniques that can compromise model integrity and security. Managing the balance between model performance and robustness is another key difficulty, as defenses against adversarial attacks can sometimes reduce accuracy or increase computational costs. Collaboration with data scientists, security teams, and software engineers is vital for developing resilient models and implementing effective defenses. Staying current with the latest research and tools is essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive as an adversarial machine learning specialist, and why are they important?

To excel in Adversarial Machine Learning, you need a strong background in machine learning, deep learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial attack and defense libraries, and knowledge of security protocols are crucial. Creative problem-solving, critical thinking, and strong communication skills help in designing robust models and explaining complex threats to stakeholders. These competencies are vital to anticipate vulnerabilities, safeguard AI systems, and ensure the reliability of machine learning models in real-world applications.

What is the difference between Adversarial Machine Learning vs Data Scientist?

AspectAdversarial Machine LearningData Scientist
CredentialsKnowledge of machine learning, cybersecurity, and threat detectionDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, cybersecurity teams, AI developmentBusiness analytics, data analysis, model development
Industry UsageAI security, cybersecurity, machine learning researchBusiness, finance, healthcare, tech companies

Adversarial Machine Learning focuses on understanding and defending AI models against malicious inputs, often within cybersecurity contexts. Data Scientists analyze data to extract insights, build models, and support decision-making across various industries. While both roles require machine learning knowledge, Adversarial Machine Learning emphasizes security and robustness, whereas Data Scientists focus on data analysis and predictive modeling.

What is adversarial machine learning?

Adversarial machine learning is a field of study focused on understanding and defending against attacks that manipulate machine learning models by feeding them deceptive input, known as adversarial examples. These attacks can cause models to make incorrect predictions, raising concerns about the security and reliability of AI systems, especially in critical applications like image recognition and autonomous vehicles. Researchers in this area develop techniques to detect, prevent, and mitigate these vulnerabilities to make machine learning systems more robust.

What are popular job titles related to Adversarial Machine Learning jobs in Surprise, AZ?

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Adversarial Machine Learning jobs near you

Head of Adversarial Research

Tenex.AI Inc

Scottsdale, AZ • On-site

Full-time

Posted 29 days ago

Job description

Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.
Culture is one of the most important things at TENEX.AI-explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
About the Opportunity
TENEX is disrupting the MDR space by combining AI-native automation with human-led expertise. As the Head of Adversarial Research, you will build and run the elite research arm of our organization from the ground up. You will be the tip of the spear for tracking in-the-wild campaigns, dismantling advanced malware variants, and analyzing emerging threat actor toolkits. Your research will directly power our detection engineering teams to stay ahead of adversaries, while your published thought leadership will cement TENEX's reputation as an authoritative voice in the cybersecurity community.
What You'll Do
  • Build and lead the team: Recruit, mentor, and direct a world-class team of adversarial researchers, reverse engineers, and threat intelligence analysts.
  • Track the threat landscape: Continuously monitor, analyze, and document advanced threat actor campaigns, novel toolkits, TTPs, and malware variants.
  • Drive detection innovation: Perform deep-dive adversarial research-including adversary emulation and malware analysis-to uncover new attack vectors and partner with Detection Engineering to translate these findings into high-fidelity, AI-driven detections.
  • Publish and present: Author high-impact blogs, whitepapers, and technical reports on novel findings. Represent TENEX at premier cybersecurity conferences and industry events.
  • Partner across the business: Act as the ultimate escalation point for complex threat analysis, working closely with the SOC, Incident Response, and Software Engineering teams to ensure our AI models and human analysts are equipped with the latest intelligence.
What You Bring
  • 7+ years in cyber threat intelligence, adversarial research, reverse engineering, or offensive security, with at least 2+ years in a leadership or team-building role.
  • Deep understanding of the MITRE ATT&CK framework, threat actor methodologies, and the cybercrime ecosystem.
  • Hands-on expertise analyzing malware, exploit kits, and adversary infrastructure.
  • A proven track record of published research, public speaking, or community contributions (blogs, CVEs, conference talks).
  • Ability to translate highly technical, deeply complex threat data into actionable detection logic and clear executive summaries.
Bonus Points
  • Strong scripting/development skills (Python, Go, C/C++) for automating malware analysis or building custom research tools.
  • Prior experience building a research or intel function within an MDR, MSSP, or high-growth startup environment.
  • Experience leveraging AI/Machine Learning for threat intelligence and pattern recognition.
Education & Certifications
  • Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent experience).
  • Relevant advanced certifications are highly preferred (e.g., GREM, GCTI, OSCE, OSCP, or similar).
Why Join Us?
  • Opportunity to build and shape a critical department from the ground floor at a disruptive, well-funded MDR company.
  • Directly impact the effectiveness of our AI-native platform by driving the intelligence that fuels our detections.
  • Competitive salary, equity, and benefits package.
  • A culture of growth, technical excellence, and collaboration, with the freedom to pursue groundbreaking research in emerging technologies.

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