▶︎ Overview
Position: Machine Learning Engineer (NLP / AI Agent)
Salary: JPY 7,000,000 – 15,000,000 per year
Language: Business-level Japanese & English required
Remote: Hybrid (Remote work available, office attendance required at least once a week)
▶︎ About the Company
A global knowledge platform company operating at the intersection of technology and professional expertise.
The company connects organizations with specialists across more than 190 countries, enabling access to first-hand, experience-based insights that cannot be obtained through public information alone.
With a strong international presence and multiple overseas development hubs, the company is rapidly expanding its global footprint. As generative AI reshapes how information is accessed, the organization is redefining how “primary information” — personal experience, tacit knowledge, and real-world expertise — is discovered, evaluated, and delivered to clients worldwide.
Driven by a mission to connect knowledge with ambition, the company continues to refine its products through experimentation and innovation, aiming to create an entirely new market for knowledge circulation.
▶︎ About the Role
As a Machine Learning Engineer, you will work closely with English-speaking engineers in overseas subsidiaries to design and implement autonomous AI agents leveraging predictive and generative models.
This role focuses heavily on Japanese-language NLP, model evaluation, and improving data quality across multilingual datasets.
You will contribute both to hands-on engineering and architectural design, helping deliver AI-driven value to users more quickly and at scale.
▶︎ Development Environment
- Machine Learning / LLM: Azure OpenAI
- Programming Languages: Python, C# (ASP.NET Core)
- Database: Microsoft SQL Server
- Tools: GitHub, Slack, Jira, Confluence, internal documentation tools
▶︎ Position (Responsibilities)
Overview
- Lead the design and implementation of autonomous AI agents using predictive and generative models
- Collaborate with global engineering teams to deliver scalable, production-ready ML solutions
Key Responsibilities
- Collaborate with English-speaking engineers in overseas teams on service development
- Design, implement, and validate machine learning models, particularly for NLP use cases
- Lead CI/CD pipelines, training workflows, monitoring, and version control based on MLOps best practices
- Optimize model performance, scalability, and reliability
- Design and implement LLM fine-tuning and training strategies
- Stay current with trends in machine learning, MLOps, and LLMs, and proactively propose new technical approaches
Product Integration Examples
- Automating research operations using generative AI to significantly improve expert-matching accuracy
- Generating expert outreach messages and client-facing recommendation content using AI
- Exploring RAG-based systems to personalize content feeds based on individual interests and career data
▶︎ Salary
Annual Compensation: JPY 7,000,000 – 15,000,000
- Monthly salary includes fixed overtime and late-night allowances
- Compensation is determined based on skills, experience, and role expectations
- Salary reviews twice a year; performance-based bonus once per year
▶︎ Qualifications
Required
- Hands-on experience developing and operating machine learning models using NLP (1+ year), or equivalent data science experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or related fields (or equivalent experience)
- Business-level English proficiency (speaking, reading, writing)
- Business-level Japanese proficiency (speaking, reading, writing)
Preferred
- Experience developing in public cloud environments
- Experience growing a product through continuous development and operation in collaboration with non-engineering teams
▶︎ Work Environment
- Employment Type: Full-time (Permanent)
- Location: Tokyo (Hybrid: office and remote work)
- Working System: Discretionary labor system
- Average working hours: approx. 160 hours/month
- Side Projects: Allowed (approval required)
▶︎ Allowances and Benefits
- Monthly allowance for performance and well-being expenses (healthcare, learning, household support, etc.)
- Subsidies for external seminars and conferences
- Full reimbursement for work-related books
- Health checkups and optional medical examinations
- Influenza vaccination support
- Relocation support (for eligible candidates)
- Company housing program
- Support for internal study groups and team events
- Comprehensive social insurance (health, pension, employment, workers’ compensation)
▶︎ Selection Process
- Document screening
- Casual interview
- Technical interviews (2–3 rounds)