AI Research Scientist, Audio-Visual Understanding, FAIR

Meta•San Francisco, CA

15d

About The Position

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is driven by advancing the science of intelligence and developing technology toward achieving superintelligence. We are seeking researchers with experience in computer vision, speech and multimodal learning to join our team and help build the perceptual foundations for real-time embodied conversational agents. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A PhD in AI, computer science, data science, or related technical fields
Experience holding an industry, postdoctoral, faculty, or government researcher position
Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas
Research publications reflecting experience in theoretical or empirical research
Experience in developing and debugging in Python or similar programming languages
Experience in analyzing and collecting data from various sources
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Nice To Haves

Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience with audio-visual learning or multimodal fusion techniques
Familiarity with human action recognition, social signal processing, or human-centric video understanding
Experience with long-form video understanding, video-language models, or streaming perception systems
Experience with vision-language models (VLMs) such as LLaVA, GPT-4V, Gemini, or similar architectures
Experience with temporal modeling, video transformers, or recurrent architectures for sequential data

Responsibilities

Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception
Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs
Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions
Train and optimize state-of-the-art machine learning and neural network methodologies
Conduct and collaborate on research projects within a globally-based team