Job Responsibilities

• Translate business goals into scalable ML ranking solutions powering personalized experiences across SmartNews surfaces.
• Design, experiment with, and optimize ranking strategies to improve engagement, retention, and monetization.
• Collaborate with Product, Business, and engineering teams to define success metrics and run data-driven experiments (A/B tests).
• Iterate on models, features, and ranking logic using performance data and user feedback; deploy improvements to production.

Technology Stack

Required Skills

• Python with ML frameworks (PyTorch, TensorFlow) and solid ML fundamentals (supervised learning, evaluation, feature engineering).
• Data processing with SQL, Pandas, Spark; experience handling large-scale datasets.
• Strong coding quality and ability to translate business questions into data-driven approaches.
• Business-level Japanese proficiency; ability to collaborate with local Product/Business stakeholders.

Nice to Have

• Experience with recommender/ranking/search/ads/personalization; deep learning models (embeddings, sequence models).
• Production ML workflows (feature pipelines, monitoring) and online serving.
• Open-source contributions, Kaggle, or publications.

Career Growth Perspective

• Direct impact on engagement, retention, and revenue via scalable ranking systems.
• End-to-end ownership from product goals to production models with data-driven iteration.
• Cross-functional collaboration and opportunities to work with global teams and deploy at scale.