【Machine Learning Engineer LLM/NLP（Global Business）】Hybrid | Business English & Conversational Japanese

★Machine Learning Engineer

• Japanese: Conversational Level or higher Required

◆ Hybrid Work

◆ Operation of a specialized business knowledge platform

◆ Global Business

◆ Annual Salary： 7 million ～ 15 million yen.

-------------【About the company】-------------

【Operations, New Business Creation, and Organizational Development Support for One of Japan's Largest Specialized Business Knowledge Platforms】

The company operates a global knowledge platform connecting the insights of over 800,000 experts across 190 countries. Serving more than 2,000 domestic and international institutional accounts, it delivers multifaceted matching solutions, including expert interviews, surveys, and hands-on operational support. Following the acquisition of a major US firm in 2021, the company has expanded its footprint globally, currently operating across seven international hubs.

In an era where the rise of Generative AI has made public information effortlessly accessible, the company believes that the value of individual lived experiences and uncodified insights—true "primary information"—has become significantly more critical. Extracting cutting-edge expertise that AI cannot access and connecting it to a client's specific business challenges forms the core value proposition of the service.

To achieve this mission, the company continues to refine its products as a market challenger. Through ongoing experimentation and iteration, it aims to drive the creation of a new market powered by the seamless circulation of specialized knowledge.

-------------【 Job Description】-------------

①Recruitment Background

The company operates a knowledge platform dedicated to its mission. By leveraging an extensive global network of over 700,000 experts, they connect businesses challenges—from new business development and HR strategies to global expansion—with individuals possessing precisely the right knowledge. The company's tailored solutions, including one-hour interviews, online surveys, and dedicated hands-on support, empower companies to overcome obstacles and achieve their most ambitious goals.

As a pioneer in Japan's Expert Network Service (ENS) industry, we aim to further enhance our market presence and become a global product that transcends regional and language barriers. To deliver value to users faster and drive growth, we are seeking engineers who can contribute to both engineering and architecture design by taking charge of designing and implementing autonomous AI agents leveraging predictive and generative models.

②Responsibilities

・Collaborating with English-speaking engineers at overseas subsidiaries on service development

・Designing, implementing, and validating machine learning models

・Promoting CI/CD pipelines, training, model monitoring, and version control based on MLOps best practices

・Optimizing machine learning model performance and scalability

・Fine-tuning large language models (LLMs) and designing/implementing training

・Stay current with the latest trends in machine learning, MLOps, and LLMs; researching and proposing new technologies and methodologies

③Highlights of the Role

・Work closely with the business side throughout the entire process, from problem-solving discussions and specification design to release and continuous improvement.

・In addition to solving challenges based on business-side requests, engineers are also encouraged to propose their own ideas.

・Since you can be involved from the planning stage of initiatives, this is an environment where you can make a significant contribution to the growth of the service as an engineer.

・Depending on your preferences, there may also be opportunities to work at our New York development hub and build a global career.

④Technical Environment

・Programming language: Python, C#（ASP.NET Core）

・Database: Microsoft SQL Server

・Machine Learning: Azure OpenAI

-------------【 Requirements】-------------

Required Qualifications

・Business-level English proficiency (speaking, reading, writing)

・Experience developing and operating machine learning models utilizing NLP (Natural Language Processing), or practical experience in data science (1+ years)

・Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent knowledge/experience

Preferred Qualifications

・Experience developing in public cloud environments

・Experience growing services through continuous development and operations while collaborating with cross-functional team members

・Business-level Japanese proficiency

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【Working Hours】

9:00～18:00

【Holidays】

・Saturday/Sunday/National Holiday

・Annual Paid Leave

・New Year Holiday

・Congratulations & Condolence Leave

【Welfare】

Performance Enhancement Allowance: Up to 10,000 yen per month can be used for productivity-boosting services, including physical maintenance, housekeeping services, and educational expenses.

External Seminar Support

Book Purchase Coverage

Influenza Vaccinations

Health Checkup Subsidies

Health Insurance Benefits

Company-Leased Housing Program

Relocation Allowance

Study Groups & Social Events

Internal Club Subsidies

Welcome & Networking Lunches

Commutation Allowance

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