# Research Scientist: Multilingual, Multicultural and Multimodal LLM

**Company**: Google DeepMind
**Location**: Tokyo, Japan
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7672015?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_53c4a02d-886

## Description

We are seeking highly motivated and innovative Research Scientists to join our team in Tokyo, focused on advancing the state-of-the-art in multilingual, multicultural, and multimodal large language models (LLMs).

As a Research Scientist at Google DeepMind, you will:

- Develop and evaluate multilingual, multicultural, and multimodal LLMs: Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google.

- Collaborate with a world-class team: Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.

- Contribute to real-world impact: See your work contribute to Gemini and other frontier models at Google, with applications across various domains, directly influencing the future of Google products and services.

About you

- You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI.

- You embrace change and thrive under ambiguity.

- You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.

- You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.

Requirements

- Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field.

- Strong publication record in top-tier AI conferences or journals.

- Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.

- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

- Excellent communication and collaboration skills.

In addition, the following would be an advantage:

- Experience with multilingual, multicultural, and/or multimodal learning in LLMs.

- Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations.

- Familiarity with large-scale model training and deployment.

- Strong programming skills in Python or similar languages.

## Skills

### Required
- multilingual
- multicultural
- multimodal
- large language models
- Gemini
- JAX
- TensorFlow
- PyTorch
- deep learning
- natural language processing
- computer vision
- speech processing

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/deepmind/jobs/7672015?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)