Research Scientist, Omnilingual (FAIR)

Meta is looking for a Research Scientist to join its Fundamental AI Research (FAIR) organization, within Meta Superintelligence Labs. Our team has a track record of pushing the frontier in multilingual communication. Recent examples include the Omnilingual Machine Translation and ASR models covering thousands of languages.

We are looking for a Research Scientist to join our efforts on addressing the fundamental problem of knowledge transfer across languages. Researchers on our team will have the opportunity to improve frontier models, collaborate with a highly interdisciplinary team of scientists and engineers, and see the downstream application of their work into products connecting billions of users.

Responsibilities

• Directly contribute to experiments to push forward multilingual capabilities in frontier multilingual language models
• Work with large data, and contribute to development of large scale foundation models
• Drive software design, implementation and evaluation of research solutions
• Help identify long-term ambitious research goals as well as intermediate milestones
• Influence progress of relevant research communities by producing publications
• Work with a large and globally distributed team spanning several expertise areas (research, engineering, linguistics, data science, data engineering)

Minimum qualifications

• PhD degree in Artificial Intelligence (AI), computer science, or related technical fields with 2+ years of experience in AI research
• AI research experience in the domains of natural language processing and/or speech processing
• First-author publications at peer-reviewed AI conferences (e.g. ACL, EMNLP, Interspeech, ICASSP, ASRU, SLT, NeurIPS, ICML, ICLR)
• Demonstrated experience in communicating complex research for public audiences or peers
• Experience developing machine learning algorithms in e.g. Python, PyTorch, C/C++

Preferred qualifications

• Significant experience in multilingual AI research
• 4+ years of experience in AI research in a university, industry, or government lab