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Adversarial Machine Learning Jobs in Texas (NOW HIRING)

Meta

GenAI Product Policy Manager

Austin, TX

$122K/yr

Experience in adversarial simulation and red-teaming methodologies * Demonstrated ability to ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

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Adversarial Machine Learning information

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.
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What job categories do people searching Adversarial Machine Learning jobs in Texas look for? The top searched job categories for Adversarial Machine Learning jobs in Texas are:
What cities in Texas are hiring for Adversarial Machine Learning jobs? Cities in Texas with the most Adversarial Machine Learning job openings:
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Infographic showing various Adversarial Machine Learning job openings in Texas as of July 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution.
GenAI Product Policy Manager

GenAI Product Policy Manager

Meta

Austin, TX

$122K/yr

Full-time

Re-posted 20 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is seeking a product-focused strategist to join its Product Policy & Strategy team as a Product Policy Manager. In this role, you will provide direct policy counsel to product and engineering teams as they launch new multi-modal GenAI products and features. You’ll achieve this by collaborating with a range of cross-functional stakeholders, including policy, product, legal, communications, design, and marketing teams.Successful candidates will have expertise in AI technologies and tech policy, with an understanding of the AI policy and regulatory landscape, including industry trends. They will also thrive in a fast-paced environment and share our vision of building the future of human connection through transformative technology.
GenAI Product Policy Manager Responsibilities:
  • Provide policy guidance that protects and promotes free expression in GenAI products/features, while minimizing business risks and ensuring compliance with evolving regulatory and policy environments
  • Develop and implement forward-thinking policies to govern multi-modal GenAI products and features
  • Create clear risk assessments and build scalable frameworks to operationalize a consistent set of mitigations across a broad range of products
  • Work with software engineers, designers, lawyers, product managers, and others to help product teams address policy, legal, engineering, user interface, business, and marketing considerations
  • Act as an escalation point of contact and manage internal communications for policy issues

Minimum Qualifications:
  • Bachelor's degree in political science, policy, law, communications, computer science or related field
  • 4+ years of experience working in public policy, policy enforcement, law, government, national security, law enforcement, product design, product management or related field
  • Understanding of AI policy and technology policy, including key stakeholders, research initiatives, and relevant industry trends
  • Experience working autonomously and cross-functionally to develop policies and apply analytical thinking to solve ambiguous, complex problems
  • Experience with consensus building in a highly matrixed environment

Preferred Qualifications:
  • 8+ years of experience and a Master’s degree or PhD in political science, policy, law, computer science or related field
  • Experience developing policies for governing multi-modal (image, video, audio) generative AI products
  • Possess communication skills with demonstrated experience communicating with product managers, engineers, researchers, and executives
  • Proficiency in crafting formal policy documentation for a wide-ranging audience
  • Experience advising on AI technologies and other online products and platforms in a product policy role
  • Experience dealing with escalations
  • Experience articulating policies and their reasoning to various audiences effectively
  • Experience in adversarial simulation and red-teaming methodologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $180,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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