多模态大语言模型与语音到语音翻译研究科学家实习生

Meta（Meta Platforms）岗位：Research Scientist Intern, Multimodal LLM and Speech-to-Speech Translation (PhD) Responsibilities

Conduct original research in multimodal large language models, speech foundation models, or speech-to-speech translation.

Develop models that jointly understand and reason over audio, speech, visual, and textual inputs, or generate natural speech across languages.

Investigate methods for model pretraining, multimodal alignment, instruction tuning, or streaming inference.

Design and execute experiments, establish baselines, and evaluate model quality, robustness, latency, and computational efficiency.

Collaborate with researchers and engineers across speech, audio, computer vision, and language modeling.

Communicate research ideas, progress, and results through presentations, technical reports, and research publications.

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, Signal Processing, Computational Linguistics, or a related STEM field

2+ years of experience developing computational models in one or more of the following areas: speech processing, natural language processing, multimodal learning, or audio-visual learning

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Research experience in one or more of the following: Multimodal large language models, including audio-language or audio-visual-language understanding, alignment, and reasoning.

Speech-to-speech translation, simultaneous translation, multilingual speech modeling, or streaming speech generation.

Speech foundation models, neural audio codecs, speech tokenization, or expressive speech synthesis

Experience pretraining or fine-tuning large models using distributed training and large-scale datasets

Experience evaluating multimodal reasoning or speech translation, including translation accuracy, speech naturalness, speaker similarity, and streaming latency

Demonstrated research contributions through publications at venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, ICASSP, or Interspeech

Demonstrated software engineering experience through internships, research projects, or contributions to open-source repositories

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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.

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Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, Signal Processing, Computational Linguistics, or a related STEM field.

3+ years of experience programming in Python or a similar language.