Speech AI Research Intern (PhD): LLM-Powered Speech Models

Meta; City of Westminster; On-site; GBP 25,000 - 35,000; Full time

Job summary

Meta AI is seeking a Research Scientist Intern to help develop and apply state-of-the-art speech models and algorithms across large-scale production tasks. You will work on models that enable faster and better community building and user connection worldwide, with a focus on speech in LLM-enabled products.

The internship durations span 12 to 24 weeks with multiple start dates, offering hands-on research exposure, collaboration with experienced researchers, and opportunities to publish in

Qualifications

• Currently pursuing or in the process of obtaining a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, or related field.
• Experience with training deep neural networks for speech tasks such as recognition, translation, synthesis, speaker diarization, sentiment analysis, wake word, or scene understanding.
• Experience with Python programming.
• Experience with deep learning frameworks (PyTorch, TensorFlow, etc).
• Proven track record of results via grants, fellowships, patents, or first-authored publications at workshops/conferences like Interspeech, ACL, ICASSP.
• Experience working on speech LLMs.
• Ability to analyze high-volume, high-dimensional data and collaborate cross-functionally.

Responsibilities

• Develop novel and accurate speech algorithms and systems using deep learning on large data resources.
• Contribute research applicable to Meta product development.
• Analyze, optimize, and scale deployed speech systems for efficiency and stability.
• Collaborate with team members from prototyping to production.

Skills

Speech ML

Python

Deep learning

Research publications

Speech LLMs

Data analysis

Education

PhD in CS/AI/NLP

Tools

PyTorch

TensorFlow

Job description

Meta AI is seeking a Research Scientist Intern to help develop and apply state-of-the-art speech models and algorithms across large-scale production tasks. You will work on models that enable faster and better community building and user connection worldwide, with a focus on speech in LLM-enabled products.

The internship durations span 12 to 24 weeks with multiple start dates, offering hands-on research exposure, collaboration with experienced researchers, and opportunities to publish in