Meta is seeking a Research Scientist to advance the field of multi-modal understanding. This role focuses on developing models and systems that can reason across multiple modalities including text, images, video, and audio. You will work on cutting-edge research to enable AI systems to perceive, interpret, and generate content across diverse data types, contributing to products that impact billions of users worldwide.
Responsibilities
Conduct research on multi-modal learning, including vision-language models, audio-visual understanding, and cross-modal reasoning Develop novel architectures and training methodologies for models that integrate and reason across multiple modalities Design and execute experiments to evaluate multi-modal model capabilities and identify areas for improvement Publish research findings at top-tier conferences and contribute to Meta's research community Collaborate with cross-functional teams to translate research innovations into product applications Mentor and guide other researchers on multi-modal AI projects
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field Experience with multi-modal learning, vision-language models, or cross-modal representation learning demonstrated through publications or projects Experience programming in Python and with deep learning frameworks such as PyTorch Experience with large-scale model training and distributed computing Experience building end-to-end multi-modal systems from research to production Experience with video understanding or audio-visual learning Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or EMNLP focused on multi-modal learning Experience with large language models, vision transformers, or foundation models