Oriol Vinyals
Vice President at Google DeepMind; co-author of sequence-to-sequence learning and the TensorFlow white paper
- Vice President, Google DeepMind, Google DeepMind12
Oriol Vinyals is a Vice President at Google DeepMind, credited with that title on Google's May 2026 Gemini 3.5 announcement; in November 2025 the Universitat Politècnica de Catalunya awarded Vinyals an honorary doctorate and described Vinyals as vice-president of Research at Google DeepMind. With Ilya Sutskever and Quoc V. Le, all listed at Google, Vinyals co-authored Sequence to Sequence Learning with Neural Networks (2014), and Vinyals is also a co-author of the TensorFlow white paper and the WaveNet paper. Vinyals is listed among the executive sponsors of the first Gemma technical report and among the sponsors of the Gemma 2 and Gemma 3 reports.12345678
Work
GemmaOpen weights
Listed among the executive sponsors in the 2024 Gemma report, which releases pretrained and fine-tuned checkpoints, and among the sponsors of the Gemma 2 and Gemma 3 technical reports.678
TensorFlowOpen-source code
Co-author of the TensorFlow white paper, which describes the system built at Google and its open-source release under the Apache 2.0 license.4
Sequence to sequence learning (external site: arxiv.org)Published research
Co-author of Sequence to Sequence Learning with Neural Networks (2014), which maps an input sequence to an output sequence with multilayered LSTM networks and evaluates the approach on English-to-French translation.3
WaveNet (external site: arxiv.org)Published research
Co-author of the 2016 WaveNet paper on a generative model for raw audio waveforms.5
Other documented roles
Roles the sources document but that are not confirmed as current.
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