About JAPAN AI

JAPAN AI, Inc. was established in April 2023 as a group company of Geniee, Inc., a publicly listed company, with the aim of dramatically enhancing the potential of working people through AI technology. We leverage cutting-edge AI technology to drive research and development both domestically and internationally.

We focus particularly on the development of AI agents, providing innovative products and solutions that utilize large language models (LLM). This enables us to improve productivity and operational efficiency across various industries.

JAPAN AI leverages the advantages of being a startup, allowing for flexible and rapid decision-making, and quickly adopting the latest technologies to provide optimal solutions for our clients. Additionally, our diverse team with an international perspective enhances our competitiveness in the global market.

We aim to create new value and contribute to the progress of society as a whole through the transformative power of AI. Let's lead innovation through AI and create a future where technology enables people to achieve more.

Role Summary

In this position, you will:

Research & Implementation of Cutting-Edge Technology

• Conduct literature surveys and implement/validate the latest Generative AI technologies (LLMs, diffusion models, multimodal models, etc.)

Model Development & Optimization

• Enhance performance through structural transformation, fine-tuning, and inference optimization of existing models

Bridging Research to Product

• Implement research outcomes in forms usable by the product team, enabling real-world business applications

Technical Problem-Solving

• Analyze complex AI technical challenges and propose/implement creative solutions

Knowledge Sharing Within Team

• Document research findings and technical insights, contributing to overall team technical advancement

Responsibilities

Research & Literature Survey

• Investigate and analyze latest research papers in Generative AI, LLMs, Computer Vision, Natural Language Processing, etc.
• Monitor industry trends and assess applicability to our products
• Leverage academic presentation experience for technology evaluation from scholarly perspectives

Model Development & Implementation

• Design and develop state-of-the-art Generative AI models (GPT, Stable Diffusion, Custom Transformers, etc.)
• Customize and structurally transform existing large language models
• Implement using frameworks like PyTorch, TensorFlow, Hugging Face Transformers
• Develop models across multiple modalities (image generation, speech recognition, text generation, etc.)

Performance Optimization

• Optimize inference pipelines (reduce latency, improve throughput)
• Apply optimization techniques (quantization, distillation, pruning)
• Implement acceleration using GPU/TPU hardware
• Ensure scalability and robustness for production environments

Evaluation & Verification

• Build model performance evaluation frameworks
• Analyze and improve issues (hallucinations, bias, output quality)
• Conduct benchmark testing and drive continuous improvement cycles

Product Integration

• Implement developed models as APIs and documentation for product team use
• Implement integration technologies (Vector DB, embeddings, RAG)
• Build and operate AI systems on cloud platforms (GCP)

Required Qualifications

Academic & Foundational Knowledge

• Master's or Ph.D. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Mathematics, Physics, or related fields
• Deep knowledge/experience in Generative AI domain

Technical Skills

• Advanced Python programming: Practical experience with deep learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
• Deep learning fundamentals: Understanding of neural networks, Transformers, attention mechanisms
• Generative AI model implementation experience: Development/implementation experience with at least one Generative AI model (LLM, diffusion models, GANs, etc.)

Research & Implementation Experience

• Design and implementation experience of algorithms based on latest research papers in Computer Vision or Natural Language Processing
• Research project experience with independent algorithm development and publication in academic conferences/journals
• Experience applying research outcomes to actual products and achieving performance improvements

Problem-Solving Ability

• Experience analyzing specific technical challenges in real projects and proposing/implementing concrete solutions
• Ability to address complex technical problems with creative approaches

Learning and Development Support

AI Tool Usage Support:

• Company covers the cost of using AI tools such as JAPAN AI SaaS services, Curosor, CharGPT, Claude, etc.

Development Tool Support:

• If a desired development tool is paid, the cost is covered (up to 30,000 yen per year)

Book Purchase Assistance:

• Company covers the cost of purchasing books for learning, such as technical books (up to 30,000 yen per half-year)

Language Learning / Qualification Support:

• Company covers the cost of Japanese or English learning programs and qualification acquisition

Refresh Allowance:

• Company covers the cost of services used for personal refreshment (up to 5,000 yen per month)
• e.g., gym, yoga, chiropractic, aquarium, movies, theme park tickets, etc.

Housing Allowance:

• Housing allowance provided for those living in designated areas (up to 30,000 yen per month)

Work Style

Hybrid Work: 3 days in office, 2 days remote

Employment Type

Full-time

Salary

¥ 8,000,000 - ¥14,000,000/year

• Monthly: ¥571,429 - ¥1,000,000
• Bonuses twice yearly (May, November)
• Stock option program available

Work Location

Sumitomo Realty & Development Shinjuku Oak Tower, 5F/6F

Nishi-Shinjuku, Shinjuku-ku, Tokyo