Job Description

Career Opportunity for a Generative AI Engineer in Japan!

 

■ Generative AI Engineer

 

■ Company Overview

Japan-based technology company focused on developing AI-driven products, advertising technology, and SaaS platforms used by businesses across various industries. It has a global and diverse engineering team and continues to expand its AI research and product development initiatives.

 

■ Your Role and Responsibilities 

● Research and analyze the latest advancements in Generative AI, including LLMs, diffusion models, and multimodal systems

● Design, develop, and implement advanced AI models using frameworks such as PyTorch, TensorFlow, and Hugging Face

● Optimize model performance through fine-tuning, structural modifications, and inference optimization

● Apply research findings to real-world products and integrate AI capabilities into production systems

● Build evaluation frameworks and continuously improve model quality, addressing issues such as hallucination, bias, and output reliability

● Develop APIs and infrastructure to enable product teams to utilize AI models effectively

● Contribute to documentation and knowledge sharing within the engineering team

 

■ Experience and Qualifications

● Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related field

● Strong knowledge of Generative AI technologies including LLMs, diffusion models, or GANs

● Advanced Python programming skills with experience using frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers

● Strong understanding of deep learning fundamentals including neural networks, transformers, and attention mechanisms

● Experience implementing generative AI models or algorithms based on recent research

● Experience applying research outcomes to real-world applications and improving model performance

● Strong analytical and problem-solving skills for complex AI challenges

 

■ Additional Preferred Qualifications

● Experience implementing LLM applications such as RAG, embeddings, and vector databases

● Experience with image generation models such as diffusion models or Stable Diffusion

● Experience developing multimodal models combining text, image, or audio data

● Experience training or deploying large-scale models on cloud platforms (GCP, AWS, Azure)

 

■ Good Reasons to Join

● Opportunity to work on advanced AI technologies and large-scale machine learning systems

 

■ Work Location

Tokyo, Japan
 

Details will be provided during the meeting.