Senior Staff Research Scientist
CurrentGenAI Foundation team (the team that makes and herds Llamas). Working on multimodal LLM, specializing in the audio modality.
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@facebook.com
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3 phones found area 214 and 734
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Duc Le is listed as Sr. Staff Research Scientist, Multimodal LLM @ Meta at Meta, based in San Jose, California, United States. AeroLeads shows a work email signal at facebook.com, phone signal with area code 214, 734, and a matched LinkedIn profile for Duc Le.
Duc Le previously worked as Senior Staff Research Scientist at Meta and Research Lead at Tiktok. Duc Le holds Doctor Of Philosophy (Phd), Computer Science from University Of Michigan.
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I am currently a Senior Staff Research Scientist at Meta, working on multimodal LLM on the GenAI Foundation team (the team that makes and herds Llamas).Previously, I was a Research Lead / Senior TLM at TikTok, where I led the Music Machine Learning Research Team to work on generative AI, controllable end-to-end music generation, and large-scale music understanding.Before that, I was a Research Scientist Manager in the Meta AI Speech Team, where I led the effort to push and deploy the state-of-the-art in end-to-end ASR, rare word and entity recognition, contextual biasing, language model fusion, large-scale multilingual ASR, and spoken language understanding.I have co-authored over 40 peer-reviewed papers in speech and language processing, primarily focusing on making end-to-end ASR more customizable, more accurate on long-tail use cases, more on-device friendly, and more language agnostic. I have served as session chair for ICASSP (2021, 2022, 2023) and INTERSPEECH (2022), and am an active reviewer for ICASSP, INTERSPEECH, ASRU, SLT, TASLP, and Speech Communication.Current CV:https://github.com/ducle90/ducle.github.io/blob/main/DucLe_CV.pdfGoogle Scholar:https://scholar.google.com/citations?user=Zorb5T4AAAAJ&hl=en
Listed skills include Speech Recognition, Multiprocessing, Algorithms, C, and 35 others.
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Menlo Park, CA, US
GenAI Foundation team (the team that makes and herds Llamas). Working on multimodal LLM, specializing in the audio modality.
Los Angeles, California, US
Led the TikTok Music Machine Learning Research Team. Worked on generative AI, controllable end-to-end music generation, and large-scale music understanding.
Menlo Park, CA, US
Research Scientist Manager in the Meta AI Speech Team (part of Reality Labs). Led an applied research team that pushed the state-of-the-art in end-to-end ASR, rare word and entity recognition, contextual biasing, language model fusion, large-scale multilingual speech recognition, and spoken language understanding.
Menlo Park, CA, US
Tech Lead in the Meta AI Speech Team (part of Reality Labs), specializing in end-to-end ASR and acoustic modeling. Developed the foundational ASR technology that is now used across the company and drove multiple high-impact R&D efforts.
Worked on multi-task CTC acoustic model training and model compression based on weight pruning.
Worked on i-vector based Deep Neural Network acoustic model adaptation for large-vocabulary speech recognition.
Seattle, WA, US
Developed an Android authorization platform for Amazon mobile apps. Shipped to Kindle Fire devices.
Seattle, WA, US
Developed an automated web UI testing tool using Ruby on Rails to automatically detect interface discrepancies. Won Most Innovative Project award in Amazon e-Commerce Platform Services division.
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Duc Le works for Meta.
Duc Le is listed as Sr. Staff Research Scientist, Multimodal LLM @ Meta at Meta.
AeroLeads has found 2 work email signals at @facebook.com for Duc Le at Meta.
AeroLeads has found 3 phone signal(s) with area code 214, 734 for Duc Le at Meta.
Duc Le is based in San Jose, California, United States while working with Meta.
Duc Le has worked for Meta, Tiktok, Facebook, and Amazon.
You can use AeroLeads to view verified contact signals for Duc Le at Meta, including work email, phone, and LinkedIn data when available.
Duc Le holds Doctor Of Philosophy (Phd), Computer Science from University Of Michigan.
Duc Le is listed with skills including Speech Recognition, Multiprocessing, Algorithms, C, Jquery, Ruby, Windows, and Matlab.
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