Fundamental AI Research Scientist, Dubbing – FAIR Full-time

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) team, a research organization focused on making significant advances in AI. We publish groundbreaking papers and release frameworks and libraries that are widely used in the open-source community. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, speech synthesis and large language models. Researchers will drive impact by developing state-of-the-art speech generation systems and bringing the latest research to Meta products. They will work with a diverse and highly interdisciplinary team of scientists and engineers, and cross-functional partners and access cutting-edge technology, resources, and research facilities.

Fundamental AI Research Scientist, Dubbing – FAIR Responsibilities

• Perform research to advance the science and technology of intelligent machines.
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
• Work towards long-term ambitious research goals, while identifying immediate milestones.
• Influence progress of relevant research communities by producing publications.
• Open source high quality code and produce reproducible research.

Minimum Qualifications

• 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.
• 2+ years of experience holding an industry, faculty, or government researcher position.

Preferred Qualifications

• Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions.
• First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ICASSP, Interspeech, ACL, EMNLP, CVPR, and other similar venues.
• Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view.
• Experience collaborating in a distributed team environment on research projects.
• Experience communicating research findings to public audiences of peers.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

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