The GenAI Speech team is looking for a Research Scientist (Speech and Language). The GenAI Speech team works on large language models (LLMs) with native supporting for processing, understanding and generating of audio and speech as a modality besides others such as text or vision. As part of this, we are leveraging knowledge in areas like speech/audio encoders/tokenizer, pre-training, post-training, (online) reinforcement learning, LLM alignment, multimodal modelling, speech and audio processing, speech recognition (ASR), speech synthesis (TTS), and multilingual modelling. Our work is focused on advancing core technologies to drive and advance core product experiences at Meta such as Meta AI which is available on e.g. RayBan Meta glasses or within WhatsApp.
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Research Scientist, GenAI Speech (London) Responsibilities:
- Lead research to advance audio and speech technologies using large language models that can be applied to a wide area of Meta production use cases.
- Work towards long-term ambitious research and production goals, while identifying intermediate milestones.
- Influence progress of relevant research communities by producing publications.
- Ph.D. and established track record of leading and/or contributing to influential research, such as as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. Interspeech, ICASSP, ASRU, SLT, NeurIPS, CVPR, ICML, ICLR, ICCV, ACL)
- Experience in generative AI research, especially in building and optimising large language models for areas of audio/ speech processing and understanding, computer vision and/or natural language understanding.
- Experience communicating research for public audiences of peers, as well as non-technical audiences.
- Experience in leading theoretical and empirical research and for answering questions with research.
- Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
- Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …).
- 2+ years of work experience in a faculty, industry, or government research position with primary emphasis on AI research.
- Experience in building large language models for audio/ speech processing, understanding, and generation.
- Experience driving original scholarship in collaboration with a team.
- Experience in developing and debugging in C/C++, Python, PyTorch.
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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.