- Drive and execute cutting-edge research to advance the state-of-the-art in generative AI and large language models, contributing to areas such as multilingual modeling, code generation, multimodality.

- Design and conduct experiments, including experimental design, code development, evaluations, and results analysis, ensuring research outcomes are reusable and impactful.

- Own and pursue an independent research agenda, identifying impactful research problems, designing innovative solutions, and carrying out long-running projects.

- Work collaboratively within a globally distributed research team, and foster partnerships across the organization to align on shared goals and maximize the impact of research outcomes.

- Contribute to publications, open-source projects, and knowledge-sharing efforts, enhancing the visibility and reach of research findings.

- Set ambitious long-term research goals and develop intermediate milestones to advance our understanding and capabilities in generative AI. - Mentor junior researchers and promote a healthy, cross-functional team environment.

 Mandatory Qualifications:

- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.

- Ph.D. in AI, computer science, or a related discipline.

- Proven experience in a research-focused role within industry, academia, or government institutions.

Languages: English (Overall - 4 - Fluent)

Desired Qualifications:

- Extensive experience in generative AI and LLM research, with a focus on creating highperformance implementations of deep learning algorithms. - 2+ years of work experience in a research position at a university, industry, or government lab.

- First author publications in leading AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).

- Proficiency in Python and deep learning frameworks, with skills in developing, debugging, and optimizing research code.

- Strong interest in the ethical implications of AI technology and a thoughtful approach to responsible AI development.

- Proven experience in a research-focused role within industry, academia, or government institutions.

- Strong track record in deep learning research, with accomplishments such as first-author publications in peer-reviewed AI conferences or journals.

- Proficient in writing and executing software for large-scale AI experiments, including deep learning models and large datasets.

- Ability to speak, write, and communicate in Japanese is a plus.