Research Engineer, Foundational Research

Snapshot

We are seeking highly motivated and innovative Research Engineers to join our team in Tokyo, focused on advancing the state-of-the-art in multilingual, multicultural and multimodal large language models (LLMs).  You will conduct cutting-edge research on Gemini, particularly in the multilingual, multicultural, and multimodal domain (speech, vision, and text), with a direct path to impacting billions of users through Google products.  This role offers a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on unique challenges in the Asia-Pacific (APAC) region, while collaborating with a world-class team at Google DeepMind around the world.  If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

This position is based in the Foundational Research group at Google DeepMind Japan in Tokyo. The group conducts research and development on various aspects of multimodal LLM development, particularly focusing on voice-based conversational AI.  Their work has also enhanced various Google products such as Gemini App, NotebookLM, Google AI Studio, Google Labs, and Google Cloud.

The role

As a Research Engineer at Google DeepMind, you will:

Key responsibilities

• Develop and evaluate multilingual, multicultural, and multimodal LLMs: Design, implement, evaluate, deploy, analyze, and improve 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 product 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.
• Make innovation: Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing innovations that can be effectively contributing to real-world impact.

About you

You are a passionate and talented researcher engineer with a strong foundation and a proven ability to conduct impactful research and engineering 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 and engineering challenges. You are passionate about seeing 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.  You are eager to see your research and engineering contribute to real-world applications and are driven by a desire to create positive change through AI.

• Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Experience with core software engineering and applied implementations of AI 
• Innovate and assess new LLM advances and techniques for pilot projects, quickly demonstrating viability and potential impact.  Transform successful prototypes into scalable solutions into Gemini and for wider integration within Google's products.
• Solid understanding of deep learning, natural language processing, speech processing, and/or computer vision.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
• Strong programming skills in Python.
• Excellent communication and collaboration skills.  

In addition, the following would be an advantage: 

• Experience with multilingual, multicultural, and/or multimodal learning in LLMs.
• Strong publication record in top-tier AI conferences or journals.
• Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations.
• Familiarity with large-scale model training and deployment.
• Experience working in a collaborative, cross-functional team environment, particularly across different time zones.
• Experience with C++ is a plus.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.