Recruit Detail
Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.
Company Name
ELYZA Co., Ltd.
Job Type
1A08 [Research and Development] Senior Research Scientist (LLM Development)
Work Detail
[Expected Role and Responsibilities] As a Senior Research Scientist, you will play a central role in conceiving the direction of ELYZA's research and development based on the company's mission, business strategy, and market environment, and consistently driving the process from research theme planning to experimental design, verification, and dissemination. Research Strategy Formulation: Planning medium- to long-term research themes and developing roadmaps in the field of generative AI Business Collaboration: Setting research topics and clarifying issues based on collaboration with other business units, with a view to social implementation and business impact Promoting Research and Development: Proposing and verifying novel algorithms, architectures, and learning methods for foundational models Team Leadership: Planning, promoting, and reviewing experimental plans involving research engineers and other professionals Enhancing Presence: Enhancing ELYZA's research presence through diverse forms of external communication, such as papers, technical blogs, model releases, and presentations.
Ideal Profile
Required Skills [All of the following are required] Specialized knowledge in the fields of machine learning and deep learning, and 5+ years of research and development experience Practical experience in model implementation, experimentation, and evaluation using Python Communication skills to lead projects while collaborating with team members Business-level communication skills in Japanese / Native-level Japanese proficiency Preferred Skills PhD in information science or a similar field, or equivalent experience Acceptance of proposals at top conferences in computer science or machine learning Research experience on cutting-edge topics related to foundational models (pre-training, SFT, RL, Agent, Test-time-scaling, etc.) Experience with multi-node distributed learning using FSDP, DeepSpeed, Megatron, etc. Experience in research promotion and project management in industry-academia collaboration, joint research, national projects, etc. Desired Candidate Profile ELYZA's core value: Long Term Those who resonate with Greedy's philosophy Those who can perform their duties with ownership and a high sense of ethics Those who can break down abstract issues, formulate hypotheses, and explore the optimal approach within limited resources Those who can choose research topics with an awareness of their impact on the business, organization, and society, while discussing with engineers and business-side members, without being confined to team boundaries Those who are motivated to involve others and achieve significant results as a team
What we especially look for in a PhD or postdoctoral fellow
A PhD in information science or a related field, or equivalent experience.
Work Location
[Head Office Location] ◆SWT Building 5th & 6th Floor, 3-15-9 Hongo, Bunkyo-ku, Tokyo [Work Location] ◆Head office or home (no change allowed) *No relocation required *Full remote work is possible (residence limited to within Japan)
Phd. Stating Salary
◆Expected Annual Salary: ¥9,000,000 - ¥15,000,000 ◆Monthly Salary: ¥625,000 - *Determined based on experience and abilities ＜Breakdown＞ Monthly Base Salary: ¥376,913 - Fixed Overtime Allowance (38 hours/month): ¥139,871 - Late-Night Overtime Allowance (19 hours/month): ¥13,988 - Skill Allowance: ¥94,228 - *Overtime pay for hours exceeding the fixed amount will be calculated in 1-minute increments ◆Performance Evaluation: Twice a year
Selection Flow
Document screening → Casual interview/HR interview → First interview → Second interview → Final interview → Offer/Proposal interview * After confirming your interest in the selection process, we will conduct 1-3 interviews before the final interview. * During the selection process, we will conduct casual interviews and, if requested, trial work experience to facilitate mutual understanding. * You can choose between online and offline interview formats. Office tours are also possible. * We will conduct a reference check. Details will be provided once you proceed to the selection stage.