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Florian Metze
Me, Myself, and I
Florian Metze is a prominent researcher in the fields of speech recognition, multimedia processing, and artificial intelligence. He has held several significant positions:
Academic Career
Florian Metze was an Associate Research Professor at Carnegie Mellon University's School of Computer Science, specifically in the Language Technologies Institute.14 He is currently an Adjunct Professor at Carnegie Mellon, maintaining his connection with the university.2
Current Position
Metze is now a Research Scientist Manager at Meta AI in New York.23 In this role, he leads a team of researchers and engineers working on multi-modal content understanding for Meta's applications like Instagram, Threads, Facebook, and WhatsApp.2
Research Interests
His research focuses on:
- Speech recognition
- Video understanding
- Multi-modal processing of audio, video, and text
- End-to-end deep learning
- Low-resource and multi-lingual speech processing
- Large-scale multi-media retrieval and summarization
Notable Achievements
Metze has made significant contributions to his field:
- He has been cited over 12,000 times in academic literature.1
- His work on end-to-end speech recognition using deep RNN models has been particularly influential.1
- He has published extensively on topics such as video transformers, environmental sound detection, and masked autoencoders for audio.1
Entrepreneurship
In addition to his academic and corporate roles, Metze is a co-founder of Abridge, a company that extracts information from doctor-patient conversations.2
Florian Metze's diverse experience in academia, industry, and entrepreneurship, combined with his extensive research contributions, positions him as a leading figure in the field of speech and multimedia technologies.
Highlights
Internships in multi-modal content understanding!
Our team at Meta is still accepting applications for PhD internships in summer 2024. We work on improving recommendations across Meta's family of apps (especially IG Reels) using content understanding (audio, image/ video, text, and any combination thereof, including generative models). You can find more information (and apply) at https://lnkd.in/eDTcJie4 (SWE focus) or https://lnkd.in/ebAChAUM (RS focus). Please do not hesitate to reach out if you have any questions.
