Overview
Position:
Machine Learning Engineer (NLP / AI Agent)
Salary:
JPY 7,000,000 – 15,000,000 per year
Language:
Business-level English & Japanese 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 RoleAs 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 EnvironmentMachine 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)
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職務レベル
スタッフレベル
雇用形態
正社員
職務タイプ
研究開発
業種
ITサービス・ITコンサルティング、エンジニアリングサービス
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