Research Scientist – Multimodal LLM: Google DeepMind is inviting applications for the position of Research Scientist – Multilingual, Multicultural & Multimodal Large Language Models (LLMs) at its Tokyo office. This role focuses on advancing state-of-the-art AI research in multilingual, multicultural, and multimodal systems, particularly within the Asia-Pacific (APAC) region.
The selected candidate will work on frontier AI models such as Gemini and contribute to impactful innovations across major Google platforms. This is a unique opportunity to translate cutting-edge AI research into real-world applications used by billions globally.
Research Scientist – Multilingual, Multicultural & Multimodal LLM
Summary Table
| Field | Details |
|---|---|
| Position Title | Research Scientist – Multilingual, Multicultural & Multimodal LLM |
| Organization | Google DeepMind |
| Location | Tokyo, Japan |
| Research Focus | Multilingual, Multicultural & Multimodal AI (Speech, Vision, Text) |
| Qualification | Ph.D. in CS/AI or equivalent research experience |
| Experience Level | Advanced Research / Post-PhD |
| Employment Type | Full-Time |
| Application Mode | Online |
| Last Date to Apply | Not Specified |
Designation
Research Scientist
Frontier AI Group – Google DeepMind Japan
Research Area
- Multilingual Large Language Models (LLMs)
- Multicultural AI Systems
- Multimodal AI (Speech, Vision, Text Integration)
- Voice-based Conversational AI
- Pretraining and Post-training of Foundation Models
- Prompt Engineering & Few-shot Learning
- Large-scale Model Training & Deployment
Location
Tokyo, Japan
Frontier AI Group – Google DeepMind Japan
Eligibility / Qualification
Essential Qualifications
- Ph.D. (or equivalent research experience) in:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Related technical field
- Strong publication record in top-tier AI conferences or journals
- Solid understanding of:
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Speech Processing
- Experience with ML frameworks such as:
- JAX
- TensorFlow
- PyTorch
- Excellent communication and collaboration skills
Preferred Qualifications
- Experience in multilingual, multicultural, and/or multimodal LLM research
- Expertise in:
- Pretraining & post-training techniques
- Prompt engineering
- Few-shot learning
- Model evaluation
- Familiarity with large-scale model training and deployment
- Strong programming skills in Python or similar languages
Job Description
As a Research Scientist at Google DeepMind, you will:
- Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier AI models.
- Conduct cutting-edge research to advance multimodal LLMs, particularly for APAC region challenges.
- Collaborate with research scientists, engineers, and product teams globally.
- Translate foundational research into real-world applications impacting Google products.
- Contribute to the global research community through academic publications, conferences, and workshops.
Your work may directly enhance products such as:
- Gemini App
- NotebookLM
- Google AI Studio
- Google Labs
- Google Cloud
About the Organization
Google DeepMind is dedicated to advancing artificial intelligence toward Artificial General Intelligence (AGI) for broad public benefit. The Frontier AI Group in Tokyo focuses on multimodal LLM research, especially voice-based conversational AI, with strong product integration across Google ecosystems.
The organization is committed to equal employment opportunities and values diversity across backgrounds, experiences, and perspectives.
How to Apply
Interested candidates must apply online through the official Google DeepMind careers portal.
Applicants will be required to submit:
- First Name & Last Name
- Email Address
- Phone Number
- Country
- Resume/CV (PDF, DOC, DOCX, TXT, RTF)
- Cover Letter (Optional but recommended)
- LinkedIn or external professional profile link
- Source of job information
Candidates may also create a job alert to receive future opportunities from Google DeepMind.
Last Date to Apply
Applicants are encouraged to apply at the earliest as the position may close once filled.
If you are passionate about advancing multilingual and multimodal AI systems and contributing to impactful real-world AI applications, this opportunity at Google DeepMind Japan could be your next career milestone.
