Meta AI is seeking Research Scientist interns to create spoken language technology to make it faster and easier for people to build community and connect with others around the world. This involves product-motivated research in ML/AI and deploying state-of-the-art algorithms for speech and audio processing, with a focus on speech with large language models (LLM) to power various speech-LLM-based products.
Requirements
- Research and/or work experience in machine learning, deep learning, and speech technology
- Experience with training deep neural networks for key speech tasks such as speech recognition, speech translation, speech synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word, scene understanding, etc
- Experience in Python
- Experience in deep learning frameworks (PyTorch, Tensorflow, etc)
- Experience working on speech LLMs
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Responsibilities
- Perform research to advance the science and technology of intelligent machines.
- Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources.
- Contribute research that can be applied to Meta product development.
- Analyze and improve efficiency, scalability, and stability of various deployed systems.
- Collaborate with team members from prototyping to production.
Other
- Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Artificial Intelligence, Natural Language Processing, or related field
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as Interspeech, ACL, ICASSP or similar
- Experience working and communicating cross functionally in a team environment
- Intent to return to a degree-program after the completion of the internship/co-op
