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Meta AI is currently seeking Research Scientist interns. Our team creates spoken language technology to make it faster and easier for people to build community and connect with others around the world. We conduct product-motivated research in ML/AI and design, develop and deploy state-of-the-art algorithms to the rest of Meta. We work in all aspects of AI for speech and audio processing, with a primary focus on speech with large language models (LLM) to power various speech-LLM-based products. As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks.
Job Responsibility:
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
Requirements:
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
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)
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Nice to have:
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 on speech LLMs
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
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