Company Join one of Japan's leading digital business and financial media platforms, serving over 1 million paid digital subscribers. The company owns a unique data ecosystem consisting of millions of high-quality articles and billions of user interaction logs. Engineering and data teams are using this proprietary data to build next-generation personalization, recommendation, NLP and Generative AI products. This is a stable, established business investing heavily in becoming a technology-driven digital company.
What You’ll Do You will build and improve ML-powered features used by a large-scale consumer product.
Key areas include:
Build and improve content recommendation and personalization systems
Develop production features using Generative AI and NLP
Design ML pipelines from data processing and training to deployment
Build APIs and backend systems serving ML models
Monitor model performance and create continuous feedback loops
Analyze product data and improve recommendation logic and KPIs
Design and improve MLOps infrastructure
Work with product, engineering and data teams to bring ML ideas into production
What We’re Looking For
Strong hands-on experience building ML products in production
Experience with either NLP or recommendation systems
Experience building ML training and deployment pipelines
Backend engineering experience, including ML APIs
Experience with cloud infrastructure and CI/CD
Understanding of model monitoring and continuous improvement
Ability to evaluate ML solutions from both technical and business perspectives