
201 - 500 employees
đ Cybersecurity
đ¤ Artificial Intelligence
đ° $400M Series B on 2021-07
Cybersecurity ⢠Artificial Intelligence
ActiveFence is a Trust and Safety provider for online platforms, protecting platforms and their users from malicious behavior and content. Trust and Safety teams of all sizes rely on ActiveFence to keep their users safe from the widest spectrum of online harms, unwanted content, and malicious behavior, including child safety and exploitation, disinformation, hate speech, terror, nudity, fraud, and more. We offer a full stack of capabilities with our deep intelligence research, AI-driven harmful content detection, and online content moderation platform. Protecting over three billion users globally everyday in over 100 languages, ActiveFence lets people interact and thrive online.
đĽ 0 minutes ago
đŽđą Israel â Remote
â° Full Time
đĄ Mid-level
đ Senior
đŽââď¸ Cybersecurity / Security Engineer
đť Ghost score 14%
Where this job comes from
Posted on ActiveFence's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

201 - 500 employees
đ Cybersecurity
đ¤ Artificial Intelligence
đ° $400M Series B on 2021-07
Cybersecurity ⢠Artificial Intelligence
ActiveFence is a Trust and Safety provider for online platforms, protecting platforms and their users from malicious behavior and content. Trust and Safety teams of all sizes rely on ActiveFence to keep their users safe from the widest spectrum of online harms, unwanted content, and malicious behavior, including child safety and exploitation, disinformation, hate speech, terror, nudity, fraud, and more. We offer a full stack of capabilities with our deep intelligence research, AI-driven harmful content detection, and online content moderation platform. Protecting over three billion users globally everyday in over 100 languages, ActiveFence lets people interact and thrive online.
⢠Conduct hands-on adversarial research on frontier GenAI models to uncover jailbreaks, prompt-injection vectors, guardrail bypasses and policy-evasion techniques ⢠Research agentic attack surfaces including tool use, MCP and plugin ecosystems, browsing and computer-use agents, coding agents and multi-agent pipelines ⢠Assess model capabilities in offensive cyber domains and evaluate real-world uplift provided to attackers ⢠Translate offensive security techniques into attack scenarios against LLM-based systems ⢠Design and build realistic, reproducible and correctly graded adversarial datasets, attack taxonomies and evaluation scenarios ⢠Track new model releases, published attacks, academic research and in-the-wild abuse and turn them into actionable research directions ⢠Automate attack generation and testing using Python, LLM-assisted tooling and agent frameworks ⢠Communicate findings to customers, research partners and internal teams through reports, write-ups, talks and responsible disclosure ⢠Collaborate with red-teamers, data scientists and engineers to feed research into Alice's ecosystem practices and knowledge sharing ⢠Publish research internally and externally and help shape how Alice tests frontier AI
⢠5+ years of hands-on cybersecurity research experience in offensive security, red teaming, vulnerability research, reverse engineering, detection research or exploit development ⢠1+ years of hands-on work attacking or evaluating GenAI systems, including jailbreaks, prompt injection, guardrail bypass or LLM red teaming ⢠Solid understanding of modern LLM operation and deployment, including RLHF, safety tuning, system prompts, context windows, tool calling, RAG and agent architectures ⢠Strong attacker mindset and ability to model trust boundaries and identify creative attack paths ⢠Strong coding skills and comfort building tooling and automation ⢠Ability to work independently on open-ended research problems from hypothesis through proof of concept to clear write-up ⢠Excellent written and verbal communication in English ⢠Published AI security research, CVEs, conference talks or public jailbreak/prompt-injection write-ups ⢠Experience red teaming production AI agents or AI-powered applications, or participating in AI bug bounty programs ⢠Background in threat intelligence, incident response or detection engineering ⢠Familiarity with OWASP Top 10 for LLMs, MITRE ATLAS and NIST AI RMF ⢠Experience building adversarial benchmarks or LLM evaluation harnesses ⢠Working knowledge of ML fundamentals or open-weight models, including fine-tuning, inference and interpretability ⢠Offensive security certifications such as OSCP, OSWE, OSED, OSCE3 or GREM, or a strong CTF track record ⢠English communication proficiency
⢠Full-time employment ⢠Remote work arrangement
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