Location
London

Hours
Internship duration ranges from twelve (12) to twenty-four (24) weeks with various start dates throughout the year

Salary
Negotiable

About the Role
Meta AI is seeking Research Scientist Interns to advance spoken language technology that helps people build community and connect globally. The team conducts product-motivated research in machine learning and AI, designing, developing, and deploying state-of-the-art algorithms across Meta. The focus is on AI for speech and audio processing, especially integrating speech with large language models (LLM) to power innovative speech-LLM-based products. As a Research Scientist Intern, you will develop novel models and algorithms applied to large-scale production speech tasks. You will perform research to advance intelligent machine technologies, develop accurate speech algorithms leveraging deep learning on big data, and contribute research applicable to Meta’s product development. You will analyze and improve the efficiency, scalability, and stability of deployed systems and collaborate cross-functionally from prototyping to production.

Experience
- Currently has or is pursuing a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, or related field
- Research and/or work experience in machine learning, deep learning, and speech technology
- Experience training deep neural networks for speech tasks such as speech recognition, translation, synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word detection, scene understanding, etc.
- Proficiency in Python
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Proven track record demonstrated by grants, fellowships, patents, or first-authored publications at workshops or conferences like Interspeech, ACL, ICASSP, or similar
- Experience working on speech large language models (LLMs)
- Skilled in manipulating and analyzing complex, high-volume, high-dimensional data from diverse sources
- Experience working and communicating effectively in cross-functional team environments

About you
- Must obtain and maintain work authorization in the country of employment during the internship
- Intent to return to a degree program after completion of the internship/co-op

Qualifications
- PhD candidate or holder in a relevant field as described above