Researcher · Engineer

Alexei Baevski

OpenAIMember of Technical Staff

Baevski led wav2vec 2.0, which helped speech-recognition systems learn from recordings with far fewer written transcripts.^[1] He also led data2vec, a shared learning method for speech, images and text that reduced reliance on human-labeled examples.

Career & education

Current role

OpenAIAug 2026-present

Member of Technical Staff

Previously

Google DeepMindApr 2025-Aug 2026

Principal AI Researcher

MetaFeb 2024-Apr 2025

Principal AI Researcher

Character.AIJan 2023-Feb 2024

AI Researcher

MetaApr 2018-Jan 2023

Senior Staff AI Researcher

Education

University of Toronto

Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.

Citation Trend

1 snapshots

citations54,606As of Oct 28, '26

For today’s citation count and per work, visit Google Scholar.

Selected contributions

Paper2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
With Henry Zhou, Abdelrahman Mohamed and Michael Auli
Introduced a speech-recognition method that learns from unlabeled recordings before being trained on a small amount of transcribed speech. It reduced the need for costly human-written transcripts.
Read paper

References

wav2vec 2.0arxiv.org
First authorship and speech learning with much less transcribed training data.

About this profile

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Reviewed October 28, 2026 · Checked for accuracy and new information.

Selected contributions

Paper2020

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

With Henry Zhou, Abdelrahman Mohamed and Michael Auli

Introduced a speech-recognition method that learns from unlabeled recordings before being trained on a small amount of transcribed speech. It reduced the need for costly human-written transcripts.

Alexei Baevski

Career & education

Citation Trend

Selected contributions

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

References

Related people

Alexei Baevski

Career & education

Citation Trend

Selected contributions

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

References

Related people

Related people

Related people