Key skills
AIGenerative AILLMLarge Language Models
About this role
Meta is seeking a Research Scientist to join its Meta Superintelligence Labs organization, focused on making significant advances in foundational modeling. We develop voice frontier models spanning contextual ASR, TTS, speech-to-speech, and other capabilities.
Responsibilities
Perform research to advance the state of the art in speech and audio LLMs
* Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones
* Influence the future of research in frontier modeling with detailed technical reports
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
* Ph.D. and established track record of leading and/or contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP)
* Experience communicating research for public audiences of peers, as well as non-technical audiences
* Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Relevant candidates will have a track record on developing speech and audio large language models and experience with posttraining and evaluation of LLMs
* Direct experience in generative AI, and LLM research
* Hands-on experience on speech processing (ASR, TTS, S2S, etc.)
* Hands-on experience applying RL techniques to fine-tune large language models
Responsibilities
Perform research to advance the state of the art in speech and audio LLMs
* Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones
* Influence the future of research in frontier modeling with detailed technical reports
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
* Ph.D. and established track record of leading and/or contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP)
* Experience communicating research for public audiences of peers, as well as non-technical audiences
* Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Relevant candidates will have a track record on developing speech and audio large language models and experience with posttraining and evaluation of LLMs
* Direct experience in generative AI, and LLM research
* Hands-on experience on speech processing (ASR, TTS, S2S, etc.)
* Hands-on experience applying RL techniques to fine-tune large language models