Research Scientist, Multi-Modal Understanding & Synthesis

About the job

Meta is seeking a Research Scientist to drive foundational research in multi-modal understanding, synthesis, and world models. In this role, you will advance the state of the art in building AI systems that perceive, reason across, and generate content spanning vision, language, audio, and other modalities. You will develop world models that learn rich internal representations of human behavior, enabling prediction, planning, and simulation. Collaborating with world-class researchers and engineers, you will define research directions, publish influential work, and translate breakthroughs into technologies that power Meta's next-generation AI products.

Responsibilities

Lead original research in multi-modal learning, developing architectures and algorithms that unify understanding and generation across vision, language, audio, and other modalities Design and build world models that learn predictive representations of human behavior, supporting capabilities such as simulation, planning, and reasoning Drive end-to-end research projects from problem formulation and dataset curation through model development, evaluation, and integration into real-time prototypes Develop novel approaches for multi-modal synthesis, enabling coherent generation of images, video, text, and audio from unified representations Establish rigorous evaluation frameworks, benchmarks, and metrics to measure progress in multi-modal reasoning and world modeling Mentor other engineers and researchers on the team, providing technical guidance on multi-modal architectures, generative models, and research best practices Publish research findings at top-tier peer-reviewed venues such as NeurIPS, ICLR, and CVPR to advance the broader scientific community