About the role
Software Engineer (Research and Development) Blog --> Career Opportunities --> ← All open positions Research Software Engineer (Research and Development) Build the full-stack infrastructure that turns ML research into deployed products — data pipelines, benchmarking, and user-facing tools. Tokyo Full-time English We are seeking a versatile and experienced Software Engineer to bridge the gap between our advanced ML research and our user-facing products. Unlike a traditional backend role, this position requires a generalist mindset: you will build the tools that accelerate our research (data pipelines, benchmarking systems), develop the full-stack infrastructure for our products (user portals, internal tools), and assist in managing our compute resources. You will be the “glue” that turns research capabilities into deployed, usable software. Important . When applying for this role, please select the Software Engineer (Research and Development) option in Google Forms, and make sure that in your cover letter, explicitly write that you are applying for the “ Software Engineer (Research and Development)” role to be considered for this position. Key
Responsibilities Accelerate ML Research (Data & Pipelines) – Design and build robust data collection pipelines and establish automated benchmarking systems. You will work closely with researchers to ensure they have the data and evaluation metrics needed to iterate on models quickly. Full-Stack Product Development – Develop user-facing web portals and internal dashboards. This includes building product-related infrastructure, handling user authentication, and creating intuitive interfaces that allow customers (and internal teams) to interact with our AI models. Required
Qualifications 3+ years of experience in software engineering, with a willingness to work across the full stack. Strong proficiency in Python (essential for our ML ecosystem) and experience with a second language like Go, Node.js, or TypeScript. Experience with web development frameworks (e.g., React, Next.js, Vue, or similar) to build portals and dashboards. Experience working with cloud platforms (GCP, AWS, or Azure) and containerization (Docker). Proven experience building and deploying mission-critical, scalable applications on a major cloud platform (GCP, AWS, or Azure). Preferred
