Research Engineer - AI Safety Systems and Guardrails

We are seeking an experienced Research Engineer to join the System Safety team within Product & Applied Research org at Meta Superintelligence Labs. This role will focus on researching and developing advanced machine learning models, novel algorithms, and scalable systems that improve the safety of Meta's AI products, including Meta AI and conversational, multimodal, and agentic experiences. You will bring current AI safety research into practical product safeguards, with a primary focus on guardrails, policy-adaptable risk detection, adversarial robustness, and safe agent behavior.

This is a hands-on technical leadership role with end-to-end ownership of a significant safety area—from setting research direction and developing methods through rigorous evaluation, cross-team integration, and continuous improvement in production. Research and develop state-of-the-art machine learning models and novel algorithms for AI safety, with a primary focus on guardrails, risk detection, policy adherence, and adversarial robustness

Design, prototype, and implement safety systems for language models, multimodal models, and AI agents, addressing harmful assistance, jailbreaks, prompt injection, unsafe tool use, and unauthorized information disclosure across individual interactions and complete agent tasks

Set the technical direction and research roadmap for a significant system safety area, leading complex initiatives across research, alignment, evaluation, product, and infrastructure teams