About The Position

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Meta Super-intelligence Labs. The team works on speech-LLMs, and leverages knowledge in areas like speech encoders, pre-training, post-training, reinforcement learning, LLM alignment, multimodal modeling, speech and audio processing, speech recognition, speech synthesis, and multilingual modeling.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD degree in Computer Science, Mathematics, or similar quantitative field
  • 2+ years of post-PhD experience in an academic, industry, or government laboratory setting, with primary responsibilities focused on AI research
  • Proven track record of publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP)
  • 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)
  • Experience communicating complex research to public audiences of peers

Nice To Haves

  • High impact publications at leading AI and speech conferences and journals (e.g. e.g., NeurIPS, ICML, ICLR, ICASSP, Interspeech)
  • Experience with interdisciplinary and/or cross-collaboration
  • Experience bringing machine learning-based products from research to production

Responsibilities

  • Lead, collaborate, and execute on research that pushes forward the state of the art in speech and large language model research
  • Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results
  • Help identify long-term research goals as well as intermediate milestones
  • Work cross-functionally to translate research breakthroughs into scalable, production-ready solutions for Meta's conversational AI / product experiences

Benefits

  • bonus
  • equity
  • benefits

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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