Research Scientist - AI Safety Red Teaming
Meta, Menlo Park, California +1
The role
Meta is seeking a Research Scientist to advance the frontiers of artificial intelligence across foundational and applied research domains. In this role, you will conduct original AI research with the potential to shape the next generation of intelligent systems, spanning areas such as large language models, multimodal learning, reasoning, generalization, and AI alignment. You will work within a collaborative research environment, translating scientific breakthroughs into real-world impact across Meta's AI-powered products and platforms, while contributing to the broader scientific community through publications and open research.
What you will do
Design and execute original research programs in artificial intelligence, including large-scale language modeling, multimodal learning, reasoning, or related foundational AI areas Develop and evaluate novel algorithms, architectures, and training methodologies that advance the state of the art in AI research Implement the most technically challenging components of research systems, ensuring rigor in experimental design, evaluation, and reproducibility Define research metrics and evaluation frameworks to measure progress against long-term scientific and product objectives Lead the technical design of research initiatives, including scoping, milestone planning, and cross-functional coordination with engineering and product teams Translate research findings into scalable systems and production-ready solutions in collaboration with applied engineering teams Mentor other researchers and engineers on the team, providing technical guidance and supporting their growth in AI research methodology Communicate research outcomes through internal technical reports, external publications, and presentations at leading AI conferences and workshops Identify and drive improvements to research infrastructure, tooling, and experimentation workflows to accelerate team-wide research velocity Contribute to recruiting efforts by evaluating candidates and articulating the team's research vision and strategic priorities