Meta
Research Scientist Intern, AI Research - Speech & Audio (PhD)
Menlo Park, CA +1 · Internship · Posted Oct 27, 2026
- Location
- Menlo Park, CA
New York, NY - Experience
- Research and/or work experience in machine learning, deep learning, and speech technology; no number of years stated.
- Education
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain it during employment.
About the job
Conduct speech and audio AI research, develop speech algorithms and models, and help apply them to large-scale Meta products and production systems.
What you'll do
- Research intelligent machines and develop speech algorithms using deep learning and machine learning on large datasets.
- Contribute research to product development and improve deployed systems’ efficiency, scalability, and stability.
- Collaborate across the team from prototyping through production.
What they ask for
- Currently pursuing or holding a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field.
- Research or work experience in machine learning, deep learning, and speech technology; experience training deep neural networks for speech tasks.
- Experience with Python and deep learning frameworks such as PyTorch or Tensorflow.
- Must obtain and maintain work authorization in the country of employment; intend to return to a degree program after the internship.
Nice to have
- Experience working on speech LLMs and analyzing complex, high-volume, high-dimensional data.
- Record of research results such as grants, fellowships, patents, or first-authored publications at workshops or conferences.
Pay
$7,650/month to $12,667/month (base salary)
Tools
Python, PyTorch, Tensorflow, LLM
AI focus
Research and develop speech and audio AI, with a primary focus on speech with large language models for speech-LLM-based products.
Model-written summary · the original posting is authoritative