AI Research Scientist, Audio-Visual Understanding, FAIR

Summary:

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.

Required Skills:

AI Research Scientist, Audio-Visual Understanding, FAIR 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

Minimum Qualifications:

Minimum Qualifications:

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

Preferred Qualifications:

Preferred Qualifications:

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

Public Compensation:

$154,000/year to $217,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.