Mikel Artetxe
Mikel Artetxe is a natural language processing researcher and co-founder of the AI startup Reka, with a background in unsupervised machine translation and multilingual sentence embeddings. He did his PhD at the University of the Basque Country from 2016 to 2020 under Eneko Agirre and Gorka Labaka, and his thesis on unsupervised machine translation won the 2020 EurAI Dissertation Award, followed by a 2021 young researchers prize in computer science. From 2020 to 2023, he was a Research Scientist at FAIR (Meta AI), where he coauthored work on mixture-of-experts language models and OPT. In 2023, he became a co-founder of Reka, which described its multimodal Core, Flash, and Edge models in an April 2024 report. He is a co-founder of Reka and an Honorary Researcher at the University of the Basque Country.
Timeline
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2016–2020
PhD with Eneko Agirre
He does his PhD at the University of the Basque Country from 2016 to 2020, advised by Eneko Agirre and Gorka Labaka. Along the way, he interns at FAIR (Meta AI) in 2018, advised by Holger Schwenk, and at DeepMind in 2019, advised by Sebastian Ruder and Dani Yogatama.
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2017
Unsupervised neural machine translation
With Gorka Labaka, Eneko Agirre and Kyunghyun Cho, he posts Unsupervised Neural Machine Translation in 2017, a method that trains a translation system on monolingual corpora alone. The system reaches 15.56 BLEU points on WMT 2014 French-to-English translation, and the paper appears at ICLR 2018.
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2018
Multilingual sentence embeddings
With Holger Schwenk, he introduces an architecture in 2018 that learns joint sentence representations for 93 languages with a single BiLSTM encoder. A classifier trained on English annotated data alone transfers to any of the 93 languages, and the paper appears in TACL.
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2020–2021
Dissertation and young researcher awards
His thesis Unsupervised Machine Translation, supervised by Gorka Labaka and Eneko Agirre, wins the 2020 EurAI Dissertation Award. In 2021, he receives a prize in the Young Researchers in Computer Science category at the research awards of the Spanish scientific society SCIE and the BBVA Foundation.
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2020–2023
Research Scientist at FAIR
He works as a Research Scientist at FAIR (Meta AI) from 2020 to 2023. In 2021, he is first author of Efficient Large Scale Language Modeling with Mixtures of Experts, where a 1.1-trillion-parameter MoE model outperforms a compute-equivalent 6.7B dense model, and in 2022 he is an author of OPT, a suite of decoder-only transformers from 125M to 175B parameters.
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2023
Co-founding Reka
In 2023, he becomes a co-founder of Reka, an AI startup. He also takes up an Honorary Researcher post at the University of the Basque Country in 2023.
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April 2024
Reka Core, Flash, and Edge
Reka releases its report on Reka Core, Flash, and Edge in April 2024, a series of multimodal models trained from scratch that process text, images, video, and audio. He is one of the 25 listed authors, and the report places Core close to the best frontier models on automatic and blind human evaluations.
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As of October 2026
Reka co-founder, IXA researcher
He is a co-founder of Reka, an AI startup building multimodal language models, and an Honorary Researcher at the University of the Basque Country, where he works at 20% dedication in the IXA research group. In September 2025, he gives the invited talk at the presentation of the university's HiTZ Chair of Artificial Intelligence and Language Technology in San Sebastián.
Career
- Since 2023Reka AICo-founder
- NowUniversity of the Basque CountryHonorary Researcher
- 2019Google DeepMindIntern
- 2018–2023FAIR (Meta)Intern, Research Scientist
Education
Sources and credits
Photo: We have no published photo of Mikel Artetxe yet. Send us a free-licensed photo.
- Mikel Artetxe
- [1710.11041] Unsupervised Neural Machine Translation
- [1812.10464] Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
- 2020 EurAI Dissertation Award | European Association for Artificial Intelligence
- Eneko Agirrek 2021eko SCIE-BBVA Fundazioa Informatika Sari Nazionala jaso du - Campusa - EHU
- [2112.10684] Efficient Large Scale Language Modeling with Mixtures of Experts
- [2205.01068] OPT: Open Pre-trained Transformer Language Models
- [2404.12387] Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
- Presentación oficial de la Cátedra HiTZ de Inteligencia Artificial y Tecnología del Lenguaje - Campusa - EHU







