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Adversarial Engineer Jobs (NOW HIRING)

Harnham

$113K - $149K/yr

Conduct adversarial AI research, including threat modeling, vulnerability analysis, and red teaming of AI systems. * Develop mitigation strategies for adversarial attacks and improve AI system ...

FieldAI

Robotics Product Security Engineer

Irvine, CA · On-site

$62.25 - $83.25/hr

... Engineer to enhance the security architecture of autonomous robotic systems. The role involves ... and adversarial analysis of deployed robotic systems • Investigate vulnerabilities affecting ...

FieldAI

Robotics Product Security Engineer

Irvine, CA · On-site

$63 - $84.25/hr

You will contribute to secure system design, threat modeling, deployment security, and adversarial ... Strong software engineering and systems engineering fundamentals * Experience securing embedded ...

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Adversarial Engineer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or cybersecurity can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like machine learning engineers, cloud architects, and adversarial engineers with expertise in security and AI are among those reaching this compensation level, often including bonuses and stock options.

Which 3 jobs will survive AI?

Adversarial engineers, who develop and defend AI systems against malicious attacks, are likely to continue being in demand as AI security becomes more critical. Roles involving complex problem-solving, creativity, and human oversight—such as AI ethics specialists and cybersecurity analysts—are also expected to persist due to the need for human judgment and expertise. These jobs require specialized skills and ongoing learning to adapt to evolving AI technologies.

What is the highest paid cyber security job?

The highest paid cybersecurity roles often include Chief Information Security Officer (CISO), Security Director, or Security Architect, with CISOs typically earning the highest salaries due to their strategic and leadership responsibilities. These positions require extensive experience, advanced certifications like CISSP, and a strong understanding of security frameworks, often commanding six-figure or higher compensation. Salary levels vary by industry and location but are generally among the top in cybersecurity careers.

What is the difference between Adversarial Engineer vs Penetration Tester?

AspectAdversarial EngineerPenetration Tester
CredentialsSecurity certifications (e.g., OSCP, CEH), strong coding skillsSecurity certifications (e.g., OSCP, CEH), ethical hacking skills
Work EnvironmentDevelops attack simulations, tests defenses, often in R&D or security teamsPerforms authorized security assessments, often in consulting or internal security teams
Industry UsageUsed in cybersecurity, product security, and threat simulationCommon in cybersecurity, vulnerability assessment, and compliance testing

While both roles focus on security testing, an Adversarial Engineer develops sophisticated attack strategies to identify vulnerabilities proactively, often working on threat simulation and defense development. A Penetration Tester conducts authorized security assessments to find vulnerabilities, typically in a more tactical and testing-focused capacity. Both roles require similar certifications and skills but differ in scope and objectives.

What are Adversarial Engineers?

Adversarial Engineers are professionals who specialize in testing and improving the security and robustness of machine learning models and AI systems by simulating attacks and identifying vulnerabilities. Their work often involves crafting adversarial examples—inputs designed to deceive AI systems—and developing defenses against such attacks. Adversarial Engineers play a critical role in ensuring that AI technologies can withstand malicious manipulation and function safely in real-world environments.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data science, or cybersecurity can earn $300,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles like machine learning engineers, cloud architects, and adversarial engineers often reach or exceed this salary level, particularly in competitive markets or with additional bonuses and stock options.

What are some common challenges Adversarial Engineers face when testing machine learning systems?

Adversarial Engineers often encounter challenges such as staying ahead of evolving attack techniques, understanding the intricacies of different machine learning models, and designing realistic threat scenarios. They must balance creating effective adversarial examples with ensuring those tests reflect real-world risks. Additionally, collaboration with data scientists and security teams is essential to integrate findings into model improvements and broader security strategies.

What are the key skills and qualifications needed to thrive as an Adversarial Engineer, and why are they important?

To thrive as an Adversarial Engineer, you need a deep understanding of cybersecurity principles, machine learning, and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with penetration testing tools, adversarial attack frameworks, and certifications like OSCP or CEH is commonly required. Strong analytical thinking, problem-solving, and effective communication skills help professionals excel in identifying vulnerabilities and collaborating with cross-functional teams. These competencies are critical to proactively defending systems and improving the robustness of AI models against evolving threats.
Infographic showing various Adversarial Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Manager, Content Adversarial Red Team

Google

San Francisco, CA • On-site

Full-time

Posted 25 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies

Job description

info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 13 years of experience in data analytics, cybersecurity, program management, business strategy, technology research, anti-abuse, policy or related fields.
  • 2 years of experience in people management, leading teams.

Preferred qualifications:
  • Master's or PhD in relevant field.
  • Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.
  • Experience working closely with policy teams.
  • Experience with machine learning.
  • Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g., Python).
  • Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.

About the job
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
As a Manager for the Content Adversarial Red Team (CART), you will lead the US-based team responsible for conducting adversarial red teaming to uncover new or unexpected loss patterns on Google's premier generative AI products.
The CART team is a key product area partner and critical part of Google's mission to launch bold and responsible GenAI products. CART works alongside product, policy, and enforcement teams to proactively detect harm patterns and help build the safest possible experiences for Google users.
CART focuses on discovering harmful content, harmful interactions (i.e. agents), neutrality issues, and works closely with other red teams at Google that focus on privacy and security risks.
CART's testing supports Google's more critical, high-profile GenAI launches through innovative red teaming focused on emerging risks and high-priority areas of focus.
At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $219000 - $306000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Execute CART's priorities and overall coordination. Build a scalable, sustainable program that maximizes the team's capabilities to deliver high quality red team results.
  • Interface with executive leads and cross-functional stakeholders to gather requirements and ensure needs are met.
  • Review CART's analytic products to ensure testing results are actionable and valuable for product teams.
  • Leverage AI augmentation and tooling as you develop repeatable processes that mature CART's program and yields valuable testing insights.
  • Be exposed to graphic, controversial, or upsetting content.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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