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AI Red Team Engineer - German(m/w/x)
Adversarial testing of large language model guardrails for language accessibility. Deep large language model understanding and cybersecurity threat modeling experience required. Collaboration with safety researchers and engineers.
Anforderungen
- Deep understanding of Generative AI and main models
- Experience in cybersecurity principles and threat modeling
- Strong analytical skills for data analysis and NLP
- Commitment to ethical hacking and responsible disclosure
- Bachelor's or Master’s Degree in relevant fields
- Advanced English (C1) or above
- Adversarial thinking
- Knowledge of common model vulnerabilities
- Experience in AI/ML security and red teaming
- Willingness to learn new methods and adapt quickly
- Proficiency in scripting and automation using Python, Bash, or PowerShell
- Familiarity with AI red-teaming frameworks
- Experience in physical-world adversarial testing
- Experience with containerization and CI/CD security tools
- Proficiency in offensive exploitation and exploit development
- Skilled in reverse engineering using tools like Ghidra
- Expertise in network and application security
- Knowledge of operating system security concepts
- Familiarity with secure coding practices for full-stack development
Aufgaben
- Craft prompts and scenarios for testing model guardrails
- Explore creative methods to bypass restrictions
- Systematically document testing outcomes
- Think like an adversary to identify weaknesses
- Collaborate with engineers and safety researchers to share findings
- Improve system defenses based on testing results
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Bash
- PowerShell
- Ghidra
- Docker
Noch nicht perfekt?
- LILTTeilzeitFreelancemit HomeofficeBerufserfahrenBerlin
- XITASO GmbH IT & Software Solutions
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AI Red Team Engineer - German(m/w/x)
Adversarial testing of large language model guardrails for language accessibility. Deep large language model understanding and cybersecurity threat modeling experience required. Collaboration with safety researchers and engineers.
Anforderungen
- Deep understanding of Generative AI and main models
- Experience in cybersecurity principles and threat modeling
- Strong analytical skills for data analysis and NLP
- Commitment to ethical hacking and responsible disclosure
- Bachelor's or Master’s Degree in relevant fields
- Advanced English (C1) or above
- Adversarial thinking
- Knowledge of common model vulnerabilities
- Experience in AI/ML security and red teaming
- Willingness to learn new methods and adapt quickly
- Proficiency in scripting and automation using Python, Bash, or PowerShell
- Familiarity with AI red-teaming frameworks
- Experience in physical-world adversarial testing
- Experience with containerization and CI/CD security tools
- Proficiency in offensive exploitation and exploit development
- Skilled in reverse engineering using tools like Ghidra
- Expertise in network and application security
- Knowledge of operating system security concepts
- Familiarity with secure coding practices for full-stack development
Aufgaben
- Craft prompts and scenarios for testing model guardrails
- Explore creative methods to bypass restrictions
- Systematically document testing outcomes
- Think like an adversary to identify weaknesses
- Collaborate with engineers and safety researchers to share findings
- Improve system defenses based on testing results
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Bash
- PowerShell
- Ghidra
- Docker
Über das Unternehmen
LILT
Branche
IT
Beschreibung
The company uses AI and machine translation to make information accessible across languages, ensuring quality and efficiency.
Noch nicht perfekt?
- LILT
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