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LLM Security Architect
LLM Security Architect
London, UK (Remote)
Responsibilities:
- Threat Analysis: Conduct thorough research and analysis of emerging threats to LLMs, staying abreast of the latest attack vectors and vulnerabilities.
- Security Architecture: Design and implement robust security architectures for LLMs, incorporating best practices in authentication, authorization, and encryption.
- Adversarial Defense: Develop and deploy advanced defense mechanisms to detect and mitigate adversarial attacks against LLMs, ensuring their resilience against manipulation.
- Data Integrity: Establish rigorous processes to safeguard the integrity of training data and models, preventing data poisoning and unauthorized modifications.
- Vulnerability Assessment: Regularly assess LLMs for vulnerabilities, conducting penetration testing and security audits to identify and remediate weaknesses.
- Incident Response: Develop and maintain incident response plans for LLM security breaches, ensuring swift and effective action in the event of an attack.
- Collaboration: Collaborate closely with AI researchers, engineers, and other stakeholders to integrate security measures seamlessly into LLM development and deployment processes.
Qualifications:
- Education: Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
- Experience: 3+ years of hands-on experience in AI security or cybersecurity, with a demonstrated understanding of LLM architectures and vulnerabilities.
- Skills: Strong programming skills (Python, C++, etc.), expertise in machine learning frameworks (TensorFlow, PyTorch), knowledge of security protocols and cryptography.
- Passion: A genuine passion for AI and cybersecurity, with a strong desire to protect and defend cutting-edge technologies.pen_spark
Competitive Salary
We offer a competitive salary and comprehensive benefits package, including health insurance, 401(k), and paid time off.
Growth Opportunities
We provide ample opportunities for professional growth and development, including training, conferences, and mentorship programs.
Impact
You will have a direct impact on the security of our groundbreaking AI technologies, contributing to a safer and more secure future.pen_spark
LLM Security Engineer
LLM Security Engineer
London, UK (Remote)
Responsibilities:
- Threat Analysis: Conduct thorough research and analysis of emerging threats to LLMs, staying abreast of the latest attack vectors and vulnerabilities.
- Security Architecture: Design and implement robust security architectures for LLMs, incorporating best practices in authentication, authorization, and encryption.
- Adversarial Defense: Develop and deploy advanced defense mechanisms to detect and mitigate adversarial attacks against LLMs, ensuring their resilience against manipulation.
- Data Integrity: Establish rigorous processes to safeguard the integrity of training data and models, preventing data poisoning and unauthorized modifications.
- Vulnerability Assessment: Regularly assess LLMs for vulnerabilities, conducting penetration testing and security audits to identify and remediate weaknesses.
- Incident Response: Develop and maintain incident response plans for LLM security breaches, ensuring swift and effective action in the event of an attack.
- Collaboration: Collaborate closely with AI researchers, engineers, and other stakeholders to integrate security measures seamlessly into LLM development and deployment processes.
Qualifications:
- Education: Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
- Experience: 3+ years of hands-on experience in AI security or cybersecurity, with a demonstrated understanding of LLM architectures and vulnerabilities.
- Skills: Strong programming skills (Python, C++, etc.), expertise in machine learning frameworks (TensorFlow, PyTorch), knowledge of security protocols and cryptography.
- Passion: A genuine passion for AI and cybersecurity, with a strong desire to protect and defend cutting-edge technologies.pen_spark
Competitive Salary
We offer a competitive salary and comprehensive benefits package, including health insurance, 401(k), and paid time off.
Growth Opportunities
We provide ample opportunities for professional growth and development, including training, conferences, and mentorship programs.
Impact
You will have a direct impact on the security of our groundbreaking AI technologies, contributing to a safer and more secure future.pen_spark
LLM Red Team Engineer
LLM Red Team Engineer
London, UK (Remote)
Responsibilities:
- Threat Analysis: Conduct thorough research and analysis of emerging threats to LLMs, staying abreast of the latest attack vectors and vulnerabilities.
- Security Architecture: Design and implement robust security architectures for LLMs, incorporating best practices in authentication, authorization, and encryption.
- Adversarial Defense: Develop and deploy advanced defense mechanisms to detect and mitigate adversarial attacks against LLMs, ensuring their resilience against manipulation.
- Data Integrity: Establish rigorous processes to safeguard the integrity of training data and models, preventing data poisoning and unauthorized modifications.
- Vulnerability Assessment: Regularly assess LLMs for vulnerabilities, conducting penetration testing and security audits to identify and remediate weaknesses.
- Incident Response: Develop and maintain incident response plans for LLM security breaches, ensuring swift and effective action in the event of an attack.
- Collaboration: Collaborate closely with AI researchers, engineers, and other stakeholders to integrate security measures seamlessly into LLM development and deployment processes.
Qualifications:
- Education: Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
- Experience: 3+ years of hands-on experience in AI security or cybersecurity, with a demonstrated understanding of LLM architectures and vulnerabilities.
- Skills: Strong programming skills (Python, C++, etc.), expertise in machine learning frameworks (TensorFlow, PyTorch), knowledge of security protocols and cryptography.
- Passion: A genuine passion for AI and cybersecurity, with a strong desire to protect and defend cutting-edge technologies.pen_spark
Competitive Salary
We offer a competitive salary and comprehensive benefits package, including health insurance, 401(k), and paid time off.
Growth Opportunities
We provide ample opportunities for professional growth and development, including training, conferences, and mentorship programs.
Impact
You will have a direct impact on the security of our groundbreaking AI technologies, contributing to a safer and more secure future.pen_spark
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