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Adversarial Machine Learning Jobs in Texas (NOW HIRING)

HiddenLayer

AI Red Teamer

Austin, TX · On-site +1

The ideal candidate is a proactive problem solver with hands-on experience in AI security testing and a deep understanding of machine learning models and adversarial techniques. WHO WE ARE:

Vanguard

Machine Learning Engineer, Specialist

Dallas, TX · On-site

$113.30K - $136K/yr

... adversarial testing service. We're looking for people who are technically sharp and effective ... Performs the development and programming of machine learning integrated software algorithms to ...

Apple

ML Researcher, Autonomous Security

Austin, TX · On-site

... or Adversarial Machine Learning.Sound intuition, adaptive mentality, and the courage to challenge established paradigms to drive innovation.Strong analytical and problem-solving skills, with the ...

Apple

ML Researcher, Autonomous Security

Austin, TX

$139.50K - $258.10K/yr

... Adversarial Machine Learning. Sound intuition, adaptive mentality, and the courage to challenge established paradigms to drive innovation. Strong analytical and problem-solving skills, with the ...

Apple

ML Researcher, Autonomous Security

Austin, TX

$139.50K - $258.10K/yr

... Adversarial Machine Learning. Sound intuition, adaptive mentality, and the courage to challenge established paradigms to drive innovation. Strong analytical and problem-solving skills, with the ...

Apple

ML Researcher, Autonomous Security

Austin, TX

$139.50K - $258.10K/yr

... Adversarial Machine Learning. Sound intuition, adaptive mentality, and the courage to challenge established paradigms to drive innovation. Strong analytical and problem-solving skills, with the ...

Deloitte

AI Data Engineer Manager

Dallas, TX · On-site

... machine learning models and large language models. • Conduct research to provide technical ... adversarial samples. • Help AI product managers and business stakeholders understand the ...

Deloitte

AI Data Engineer - Manager

Dallas, TX · On-site

... machine learning models and large language models. • Conduct research to provide technical ... adversarial samples. • Help AI product managers and business stakeholders understand the ...

Deloitte

AI Data Engineer Manager

Austin, TX · On-site

... machine learning models and large language models. • Conduct research to provide technical ... adversarial samples. • Help AI product managers and business stakeholders understand the ...

Deloitte

AI Data Engineer - Manager

Houston, TX · On-site

... machine learning models and large language models. • Conduct research to provide technical ... adversarial samples. • Help AI product managers and business stakeholders understand the ...

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Adversarial Machine Learning information

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 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 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 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 are popular job titles related to Adversarial Machine Learning jobs in Texas? For Adversarial Machine Learning jobs in Texas, the most frequently searched job titles are:
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:
Adversarial Machine Learning jobs near you
Infographic showing various Adversarial Machine Learning job openings in Texas as of May 2026, with employment types broken down into 40% Full Time, 56% Part Time, and 4% Contract. Highlights an 88% Physical, 7% Hybrid, and 5% Remote job distribution.
AI Red Teamer

AI Red Teamer

HiddenLayer

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

AI Red Teamer

Location: United States - Fully Remote

ABOUT THE ROLE:

As an AI Red Teamer at HiddenLayer, you will play a pivotal role in the ML Threat Operations group. In this role will evaluate the security of AI systems, focusing on both predictive and generative AI models. You will identify vulnerabilities, simulate adversarial attacks, and provide actionable recommendations to improve the security of AI systems. The ideal candidate is a proactive problem solver with hands-on experience in AI security testing and a deep understanding of machine learning models and adversarial techniques.

WHO WE ARE:

HiddenLayer is a security solutions provider specializing in protecting Artificial Intelligence and agentic systems, models, and their underlying data. With a first-of-its-kind, non-invasive software approach to observing and securing AI and ML, we are helping to protect the world's most valuable technologies. Founded in March of 2022 by experienced security and AI professionals, HiddenLayer is based in Austin, Texas, and is backed by cybersecurity investment specialist firm Ten Eleven Ventures.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

  • Conduct end to end penetration testing on AI systems, with a focus on predictive and generative AI models.
  • Develop and execute adversarial attacks (e.g., evasion, poisoning, and inference attacks) to identify weaknesses in predictive models.
  • Develop and execute adversarial attacks (e.g., jailbreak, hallucination, context leakage, etc.) to identify weaknesses in generative AI models and applications built on top of them.
  • Collaborate with data scientists, engineering, and research teams to design and implement novel attacks and relate them back to actionable recommendations.
  • Stay current with the latest AI security research, trends, and adversarial tactics.
  • Produce detailed reports outlining vulnerabilities, risks, and actionable recommendations.
  • Contribute to the development of internal tools and frameworks for AI red teaming.

WHO YOU ARE:

  • 3+ years of experience in penetration testing, with at least 1 year focused on AI systems
  • Deep understanding of attack techniques specific to machine learning and artificial intelligence systems (data poisoning, inference attacks, model injection, prompt injection, jailbreaking, etc.)
  • Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox, CleverHans, ART, Purple Llama, Garak, or proprietary solutions).
  • Excellent communication skills with the ability to articulate complex concepts clearly to both technical and non-technical audiences.
  • Understanding of machine learning concepts and algorithms.
  • Strong problem-solving skills and the ability to think creatively to anticipate potential attack vectors.
  • Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, we cover 90% of the healthcare premium regardless of how many people you have on your plan. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.