Senior Applied Scientist, JP Seller Services
Core
Design and build AI-native science platforms and intelligent systems to automate hypothesis validation, causal analysis, and model deployment for seller-facing business decisions.
Role type
Senior Applied Scientist (AI/ML Systems)
Builds
Production-grade multi-agent AI frameworks, causal inference automation, generative AI, and simulation engines.
Domain
E-commerce / AI & Machine Learning
Deliverable
production ML models
Required skills
Causal inference, machine learning, AI system design, large-scale ML system profiling and debugging, simulation engineering, feature store architecture, experiment registry design, model evaluation frameworks, cross-functional collaboration
Preferred skills
PhD in engineering/CS/ML/Stats, experience with large-scale ML system scalability, fluency in Japanese (N1+)
Technologies
Python, C/C++, Java, Perl
Responsibilities
Lead design and development of AI-native science platforms automating the end-to-end lifecycle from hypothesis to deployment; Design and build shared knowledge infrastructure (feature stores, experiment registries, model leaderboards); Design and implement evaluation frameworks including Seller simulations; Drive integration with downstream systems to close the gap between validated insights and seller-facing actions; Collaborate with cross-functional partners to identify high-impact business problems and translate them into scalable scientific solutions.
Seniority
Senior, hands-on IC