GenAI Safety Tech Lead

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ActiveFence

WebsiteLinkedInAll Job Openings

201 - 500 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

💰 $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.

📋 Description

• Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models. • Owning projects end-to-end - from initial planning and execution through quality assurance to final delivery - with accountability for outcomes. • Mentoring junior analysts and promoting a culture of knowledge exchange and continual learning within the team. • Managing extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail. • Ongoing investigation into new tactics for circumventing foundational models' safety measures. • Partnering with cross-functional teams - engineering, product, policy - to tackle new challenges and craft forward-thinking strategies and resolutions.

🎯 Requirements

• 5+ years of experience in AI Safety and/or Responsible AI and/or Trust and Safety. • Proven track record of managing projects end-to-end, from planning and execution through quality assurance to final delivery. • Experience leading projects with multiple stakeholders in fast-paced, variable environments. • Experience working directly with clients, including attending client meetings and helping manage those relationships day to day. • Familiarity with recent Generative AI models and agents is essential, though direct technical experience is not a prerequisite. • Strong attention to detail, organizational capabilities, and the capacity to juggle numerous tasks concurrently. • Proven track record of research in academia or at a research institute (Nice to Have). • Experience with various model types (Text-to-Text, Text-to-Image) is desirable (Nice to Have). • Prior experience with OSINT (Open Source Intelligence) will be considered an asset (Nice to Have). • Experience mentoring or leading junior team members (Nice to Have).