Research Scientist, Omni-lingual (FAIR)
MetaJobsCloseBy Editorial Insights
Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) team in Paris, focusing on omni-lingual knowledge transfer across languages. You will contribute to experiments pushing multilingual capabilities in frontier language models, work with large data, help design and evaluate foundation-model solutions, set ambitious milestones, and publish to influence the field while collaborating with a global, cross-disciplinary team. Key qualifications include a PhD in AI or CS with at least 1 year of AI research, NLP or speech experience, first-author publications at major conferences, strong communication skills, and proficiency in Python, PyTorch, and C/C++. To apply effectively, tailor your CV to show multilingual modeling impact, large-scale data and foundation-model work, and product relevance; cite concrete projects, publications, and code or demos; highlight cross-functional collaboration and your readiness to work onsite in Paris.
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 Seamless family of live interaction models, or the Omnilingual 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)
Qualifications
PhD degree in Artificial Intelligence (AI), computer science, or related technical fields with 1+ 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 experiencein communicating complex research for public audiences or peers
* Experience developing machine learning algorithms in e.g. Python, PyTorch, C/C++ 2+ years of experience in AI research in a university, industry, or government lab
* Significant experience in multilingual AI research