Research Scientist Intern, AI Research - Speech & Audio (PhD)

Meta; Menlo Park, New York (CA, NY); Vor Ort; USD 48.000 - 76.000; Teilzeit

Zusammenfassung

Meta AI is seeking Research Scientist interns to advance speech and audio processing with state-of-the-art ML/AI techniques. Interns will contribute to models and algorithms for production speech tasks and work across teams to drive impact.

The internship spans 12 to 24 weeks with multiple start dates, offering exposure to cutting-edge speech-LLM research and opportunities to publish and present findings within a dynamic AI group.

Qualifikationen

• PhD or pursuing PhD in CS/AI/NLP with a strong ML research background.
• Experience conducting research in ML, deep learning, and speech technology.
• Track record of work or publications in relevant conferences.

Aufgaben

• Develop innovative models and algorithms for speech and audio tasks.
• Apply research to large-scale production speech systems with LLM components.
• Collaborate cross-functionally to validate results and translate findings into product impact.

Kenntnisse

ML research

Speech technology

Python programming

Cross-functional collaboration

Communication of results

Ausbildung

PhD in CS/AI/NLP or related

Tools

PyTorch

TensorFlow

Jobbeschreibung

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.

Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.

• 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
• 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