Research Scientist Intern – Speech & Audio (PhD)

Meta is seeking a Research Intern to join the AI Research for Speech and Audio Team as part of the FAIR team at Meta AI. The team focuses on long-term foundational research in AI.Our research spans multiple areas across audio and machine learning, including deep learning/neural networks, self-supervised learning for audio and speech representations, language modeling, generative models, audio understanding, and high quality audio synthesis.Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics and applied mathematics particularly including areas such as deep learning, speech and audio processing, and computer vision.

The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent.

This is an internship opportunity with multiple start dates from May to September. To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern – Speech & Audio (PhD) Responsibilities:

• Perform research to advance the science and technology of intelligent machines.
• Develop novel and accurate speech/audio modeling and generation algorithms, leveraging deep learning and machine learning on big data resources.
• Contribute research that can be applied to Facebook product development. – Analyze and improve efficiency, scalability, and stability of various deployed systems.
• Analyze and improve efficiency, scalability, and stability of various deployed systems.
• Present their findings in a high quality research paper that can be submitted to top-tier journals and conferences.

Minimum Qualifications:

• Currently has, or is in the process of obtaining a Ph.D. degree (or equivalent)
• Research and/or work experience in machine learning, deep learning, speech and audio processing and/or Natural Language Processing.
• Experience developing ML components and pipeline in Python and PyTorch (or other deep learning software library) including: data preprocessing, model development, training and evaluation of novel algorithms, software integration and writing reusable modules.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work – authorization during employment

Preferred Qualifications:

• Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Proven track record of first-authored publications at workshops or conferences at audio conferences like ICASSP, Interspeech, ISMIR, or NLP venues like ACL, EMNLP, NAACL, or generalist conferences such as AAAI, ICML, NeurIPS, ICLR or similar.
• Ability to communicate complex research in a clear, precise, and actionable manner.
• A strong interest in theoretical and empirical research and for answering hard questions with research
• Interpersonal experience: cross-group and cross-culture collaboration
• Experienced with the development of enterprise-level AI, machine learning and deep learning systems, involving big data management and GPU compute
• Experienced with training deep neural networks for NLP or speech and audio tasks.

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