Senior GenAI Safety Researcher
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Job Description
Senior GenAI Safety Researcher evaluating vulnerabilities across generative AI systems. Designing red-team methodologies for Alice, a trust, safety, and security company.
Responsibilities:
- Architect rigorous, scalable testing methodologies and red-teaming frameworks for foundational models, multimodal systems, and AI agents
- Develop prompt strategies across risk domains to expose complex model vulnerabilities
- Research emerging jailbreak tactics, prompt injection techniques, and circumvention strategies
- Provide technical and policy insight to support the Program Lead in scoping projects, assessing risks, and driving strategy
- Document, synthesize, and expand Alice’s internal AI Safety knowledge base
- Standardize best practices, taxonomies, and research findings across the team
- Mentor junior analysts and elevate the team’s analytical standards
- Own engagement lifecycles from planning and methodology design through execution, QA, and final delivery
- Oversee complex, multi-language datasets across multiple areas of abuse
- Partner with engineering, product, policy, and client-facing teams to communicate findings and inform mitigation strategies
Requirements:
- 5+ years of experience in AI Safety, Responsible AI, Trust & Safety, or aligned research domains
- Proven expertise in research design and building qualitative or quantitative evaluation methodologies for GenAI
- Strong domain expertise in content risks, including toxicity, copyright, misinformation, and safety policy violations
- Track record of project ownership, leading deliverables end-to-end with high attention to detail in fast-paced, variable environments
- Deep familiarity with modern Generative AI architectures, prompt engineering, red-teaming, and AI agents
- Strong communication skills to act as a core subject-matter contact for program leads, internal teams, and clients
- Published research in academia, industry whitepapers, or a research institute is nice-to-have
- Hands-on experience evaluating multimodal systems is nice-to-have
- Experience mentoring, leading, or QAing junior analysts and researchers is nice-to-have
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