Remote Marketing Intern (University Student)
PRIME AGENCY M&M
Support social media, branding and event campaigns at Berlin boutique agency PRIME AGENCY M&M while gaining practical experience alongside university studies.
Open
ActiveFence is a cybersecurity and artificial intelligence company focused on trust and safety for online platforms. Its full-stack offering combines intelligence research, AI-powered detection of harmful content, and content moderation tools to help platforms address risks such as child exploitation, disinformation, hate speech, terrorism, nudity, fraud, and other forms of online harm. ActiveFence supports trust and safety teams of different sizes, helping protect more than three billion users worldwide across over 100 languages.
AI Red Team – GenAI Adversarial Evaluation at ActiveFence
Develop adversarial attacks, datasets, and benchmarks for ActiveFence’s AI security platform. Test LLM robustness through red teaming and vulnerability research.
Description
- Design new adversarial attacks.
- Help build scalable systems for generating and testing attacks at scale.
- Assess attacks for quality, effectiveness, novelty, and reproducibility.
- Discover emerging attack patterns and model vulnerabilities.
- Create adversarial datasets, benchmarks, and regression tests.
- Share findings, methods, and structured attack data with Data Science, Security, and Engineering teams.
- Contribute to stronger model robustness and defenses.
Requirements
- At least three years of professional experience in cybersecurity, security research, red teaming, or a related security field.
- Bachelor’s degree in Data Science, Computer Engineering, Computer Science, or a closely related technical field.
- Strong knowledge of large language models, prompt injection, and AI security.
- Experience in red teaming, security research, or adversarial testing.
- Strong Python and automation skills.
- Creative problem-solving skills and the ability to develop new attack techniques.
- Ability to analyze results and communicate findings clearly.
- Offensive cybersecurity certifications such as OSWA, OSWE, OSCE3, SEC542, or SEC522 are preferred.
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