The Adversarial AI & Research Team is a specialized group of cross-functional security engineers ... Experience creating or managing large-scale datasets for security testing or machine learning ...
The Adversarial AI & Research Team is a specialized group of cross-functional security engineers ... Experience creating or managing large-scale datasets for security testing or machine learning ...
Technical Product Manager for AI Security Products
Austin, TX · On-site +1
$165K - $191K/yr
... Adversarial AI threat landscape into actionable product capabilities and detection techniques. Your exceptional understanding of both machine learning and cybersecurity will allow you to effectively ...
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Technical Product Manager for AI Security Products
Austin, TX · On-site +1
$165K - $191K/yr
... Adversarial AI threat landscape into actionable product capabilities and detection techniques. Your exceptional understanding of both machine learning and cybersecurity will allow you to effectively ...
... machine learning methodologies to transform cybersecurity data into scalable detection capabilities, enhance analytics, and improve threat detection under complex and adversarial conditions. In this ...
... machine learning methodologies to transform cybersecurity data into scalable detection capabilities, enhance analytics, and improve threat detection under complex and adversarial conditions. In this ...
Senior Data Scientist
San Antonio, TX · On-site
SWBC is seeking a talented individual to lead the development of critical machine learning and AI ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
Senior Data Scientist
San Antonio, TX · On-site
SWBC is seeking a talented individual to lead the development of critical machine learning and AI ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
Senior Data Scientist
San Antonio, TX · On-site
Design and implement machine learning and AI solutions, including predictive models, forecasting ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
Senior Data Scientist
San Antonio, TX · On-site
Design and implement machine learning and AI solutions, including predictive models, forecasting ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
Senior Data Scientist
San Antonio, TX · On-site
Design and implement machine learning and AI solutions, including predictive models, forecasting ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
Senior Data Scientist
San Antonio, TX · On-site
Design and implement machine learning and AI solutions, including predictive models, forecasting ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
Senior Data Scientist
San Antonio, TX · On-site
Design and implement machine learning and AI solutions, including predictive models, forecasting ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
Senior Data Scientist
San Antonio, TX · On-site
Design and implement machine learning and AI solutions, including predictive models, forecasting ... adversarial testing, and model performance benchmarking to ensure solution quality before ...
... machine learning methodologies to transform cybersecurity data into scalable detection capabilities, enhance analytics, and improve threat detection under complex and adversarial conditions. In this ...
... machine learning methodologies to transform cybersecurity data into scalable detection capabilities, enhance analytics, and improve threat detection under complex and adversarial conditions. In this ...
... adversarial attacks, model inversion, data poisoning, prompt injection, and model theft * Evaluate and secure AI/ML platforms and tools (e.g., Amazon SageMaker, Azure Machine Learning, Hugging Face ...
... adversarial attacks, model inversion, data poisoning, prompt injection, and model theft * Evaluate and secure AI/ML platforms and tools (e.g., Amazon SageMaker, Azure Machine Learning, Hugging Face ...
Our team develops these tools by fusing advances in parallel computing, machine learning, and novel ... Generative Adversarial Networks), and Reinforcement Learning for suggesting or automatically ...
Our team develops these tools by fusing advances in parallel computing, machine learning, and novel ... Generative Adversarial Networks), and Reinforcement Learning for suggesting or automatically ...
AI & Data Security Engineer
$184K - $277K/yr
Adversarial Testing: Experience leading or participating in red team exercises, penetration testing, or threat modeling specifically tailored to machine learning models and AI systems. Cross ...
AI & Data Security Engineer
$184K - $277K/yr
Adversarial Testing: Experience leading or participating in red team exercises, penetration testing, or threat modeling specifically tailored to machine learning models and AI systems. Cross ...
AI & Data Security Engineer
$184K - $277K/yr
Adversarial Testing: Experience leading or participating in red team exercises, penetration testing, or threat modeling specifically tailored to machine learning models and AI systems. Cross ...
AI & Data Security Engineer
$184K - $277K/yr
Adversarial Testing: Experience leading or participating in red team exercises, penetration testing, or threat modeling specifically tailored to machine learning models and AI systems. Cross ...
AI & Data Security Engineer
Austin, TX · On-site
Adversarial Testing: Experience leading or participating in red team exercises, penetration testing, or threat modeling specifically tailored to machine learning models and AI systems. Cross ...
AI & Data Security Engineer
Austin, TX · On-site
Adversarial Testing: Experience leading or participating in red team exercises, penetration testing, or threat modeling specifically tailored to machine learning models and AI systems. Cross ...
Conduct regular adversarial testing and red-teaming exercises focused on AI-powered services and machine learning models. Proactively identify and exploit potential vulnerabilities unique to AI ...
Quick apply
Conduct regular adversarial testing and red-teaming exercises focused on AI-powered services and machine learning models. Proactively identify and exploit potential vulnerabilities unique to AI ...
Principal Application Security Architect
Austin, TX · Hybrid
$153K - $255K/yr
Securing machine learning models against adversarial attacks, ensuring data privacy in AI training sets, and implementing ethical AI principles in security applications. * Develop secure AI/ML ...
Principal Application Security Architect
Austin, TX · Hybrid
$153K - $255K/yr
Securing machine learning models against adversarial attacks, ensuring data privacy in AI training sets, and implementing ethical AI principles in security applications. * Develop secure AI/ML ...
Content Developer (SIEM Cyber Security)
$110K - $115K/yr
Develop dashboards and visualizations to identify adversarial activity. (CDRL A007) * Use log data ... GMLE Certification (GIAC Machine Learning Engineer) OR Degree in Computer Science * More than 5 ...
Content Developer (SIEM Cyber Security)
$110K - $115K/yr
Develop dashboards and visualizations to identify adversarial activity. (CDRL A007) * Use log data ... GMLE Certification (GIAC Machine Learning Engineer) OR Degree in Computer Science * More than 5 ...
Staff Cyber Security Engineer - AIDR/AISPM
Frisco, TX · On-site +1
Leads the design and implementation of security strategies for AI and machine learning ecosystems, including threat detection, model security, adversarial attack mitigation, and risk management.
New
Staff Cyber Security Engineer - AIDR/AISPM
Frisco, TX · On-site +1
Leads the design and implementation of security strategies for AI and machine learning ecosystems, including threat detection, model security, adversarial attack mitigation, and risk management.
New
Asset & Wealth Management - Software Engineer, AI Platform and Services - Associate - Richardson
Richardson, TX · On-site
Build validator models, adversarial prompts, and policy checks into the stack; enforce ... machine learning engineer. ESSENTIAL SKILLS • 5+ years of software development in one or more ...
Asset & Wealth Management - Software Engineer, AI Platform and Services - Associate - Richardson
Richardson, TX · On-site
Build validator models, adversarial prompts, and policy checks into the stack; enforce ... machine learning engineer. ESSENTIAL SKILLS • 5+ years of software development in one or more ...
Develop dashboards and visualizations to identify adversarial activity. (CDRL A007) * Use log data ... GCFA or GMLE (GIAC Machine Learning Engineer or GIAC Certified Forensic Analyst) * More than 5 ...
Develop dashboards and visualizations to identify adversarial activity. (CDRL A007) * Use log data ... GCFA or GMLE (GIAC Machine Learning Engineer or GIAC Certified Forensic Analyst) * More than 5 ...
Build validator models, adversarial prompts, and policy checks into the stack; enforce ... machine learning engineer. ESSENTIAL SKILLS 5+ years of software development in one or more ...
Build validator models, adversarial prompts, and policy checks into the stack; enforce ... machine learning engineer. ESSENTIAL SKILLS 5+ years of software development in one or more ...
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?
| Aspect | Adversarial Machine Learning | Data Scientist |
|---|---|---|
| Credentials | Knowledge of machine learning, cybersecurity, and threat detection | Degree in data science, statistics, or related fields |
| Work Environment | Research labs, cybersecurity teams, AI development | Business analytics, data analysis, model development |
| Industry Usage | AI security, cybersecurity, machine learning research | Business, 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 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:
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About Salesforce
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Overview of the Role:
The Adversarial AI & Research Team is a specialized group of cross-functional security engineers working at the intersection of offensive security and artificial intelligence. As a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations teams, we mitigate risk across all AI initiatives by developing novel security frameworks, specialized tooling, and foundational testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and external knowledge sharing - establishing Salesforce as a leader in the AI security field.
Responsibilities:
The Adversarial AI & Research Team is a specialized group of cross-functional security engineers working at the intersection of offensive security and artificial intelligence. As a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations teams, we mitigate risk across all AI initiatives by developing novel security frameworks, specialized tooling, and foundational testing methodologies for both generative and predictive AI systems. We are building a robust foundation for AI security through adversarial datasets, in-house content generation systems, and external knowledge sharing - establishing Salesforce as a leader in the AI security field.
Responsibilities:
- Lead adversarial testing by designing, scoping, and executing red team assessments across our AI ecosystem using a risk-based prioritization approach to discover and address vulnerabilities before they can be exploited.
- Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art.
- Build and scale security tooling using an automation-first philosophy, driving initiatives to shift security testing left by sharing purpose-built tools with AI security stakeholders across Engineering, Research, and Ethics.
- Serve as a strategic partner across the company, providing an offensive security perspective to guide product development, support corporate governance, and contribute to policies such as Salesforce's Generative AI Security Standard.
Required Qualifications:
- 1+ years of experience in offensive security OR adversarial AI testing (red teaming, application security, penetration testing, vulnerability research, etc.).
- 6+ years of direct, hands-on experience testing the security of AI/ML systems, with a deep understanding of LLM vulnerabilities.
- High degree of Python proficiency for tool development, assessment automation, and data analysis.
- Proven experience leading complex technical projects and/or mentoring security teams, with exceptional ability to communicate high-stakes technical risks to both engineering and executive audiences.
Preferred Qualifications:
- Advanced degree (MS or PhD) in a relevant field, or a public portfolio of security research including conference presentations, published papers, CVEs, or open-source contributions.
- Experience creating or managing large-scale datasets for security testing or machine learning training.
- Experience building automated testing frameworks or large-scale evaluation pipelines.
- Familiarity with current AI safety research and frameworks like MITRE ATLAS and the OWASP Top 10 for LLMs.
Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
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In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.What Salesforce employees say
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