Solafune is a planetary intelligence company that leverages AI, satellite data, and geospatial analytics to address social challenges not only in Japan, but also in developing countries. Working with government agencies, international organizations, research institutions, and private-sector partners, we develop innovative solutions for disaster management, environmental monitoring, infrastructure management, agriculture, and climate resilience.

As an AI Engineer, you will design, develop, and deploy machine learning and deep learning models across diverse data types (image, time-series, text, and geospatial data). You will collaborate with research teams, product engineers, clients, and international partners to bring cutting-edge AI technologies into real-world applications that contribute to sustainable development and social impact.

This includes, but is not limited to:

• Designing, developing, and optimizing AI models for applications such as disaster response, infrastructure monitoring, agriculture, environmental analysis, and other social-impact domains
• Implementing, training, and evaluating deep learning models using Python and frameworks such as PyTorch or TensorFlow
• Performing data preprocessing, feature extraction, and evaluation metric design across various data types, including satellite imagery, numerical data, and natural language data
• Deploying AI models as APIs and implementing solutions on cloud environments such as AWS, GCP, and Azure
• Planning and operating data analysis competitions, including problem definition, dataset preparation, and evaluation criteria design
• Conducting data analysis and promoting AI-driven solutions for projects in Japan and internationally, including projects in Asia, Africa, and Latin America
• Researching and developing AI algorithms to support disaster management, infrastructure maintenance, agricultural productivity, environmental monitoring, and other societal challenges
• Managing projects from proof of concept (PoC) through production deployment and operational implementation
• Validating and implementing new technologies and algorithms in collaboration with research teams and domestic and international partners
• Contributing to projects that utilize space technology and AI to support sustainable development and address regional and global challenges

• Experience developing AI/ML models using Python 
• Experience building and training deep learning models with PyTorch or TensorFlow 
• Understanding of machine learning fundamentals and model evaluation 
• Team development experience using Git 
• Business-level English (ability to communicate in English is required)

Preferred Skills:

• Medal acquisition experience on Kaggle (Master or above) or other global data 　science competition platforms 
• Experience building training/inference environments on cloud platforms (AWS, GCP, etc.) 
• Experience with inference optimization using Docker / CUDA / TensorRT 
• Experience developing NLP (LLM, RAG, etc.) or image generation (Diffusion Models, etc.) 
• Practical experience with OpenCV, NumPy, Pandas, FastAPI, Flask 
• Experience reproducing and applying research papers 
• Experience in planning and operating competitions or events 
• Business-level Japanese or other languages

We are looking for candidates familiar with: 

• Language: Python, Shell 
• Frameworks: PyTorch, TensorFlow, FastAPI, Flask 
• Tools: Docker, GitHub, AWS (EC2, S3, Lambda, SageMaker), GCP 
• Libraries: OpenCV, NumPy, Pandas, Torchvision, Transformers 
• Project management: GitHub, Jira 
• Internal communication: Slack, Discord, Notion, Zoom

Kaggle Master: 9 million JPY / year or more

Kaggle Grand Master: 12 million JPY / year or more 

Other: 8 million JPY / year or more

(Salary may vary depending on your skills, experience, and geographic location).

Please submit your application via the "Apply on External Site" button.

To ensure a smooth recruitment process, we kindly ask applicants not to apply for multiple positions simultaneously.