Design, develop, and deploy optimization engines for BEV charging/discharging to minimize household energy costs.
Build, train, and evaluate ML/optimization models (e.g., forecasting energy prices, demand, vehicle usage; formulating and solving control/optimization problems).
Collaborate with product manager and engineers to align development with complex multi-system environments.
Identify issues, propose solutions, and lead technical communication with internal and external stakeholders.
Work with integration teams to ensure technologies are usable and seamlessly integrated; mentor teammates and promote engineering best practices through documentation and code quality.
技術スタック
必須スキル
Bachelor's degree in Computer Science or equivalent
7+ years in machine learning / optimization / data science
Strong programming in Python & Go; experience with ML frameworks
Experience taking ML models from prototype to production
Knowledge of one or more cloud platforms (e.g., AWS)
Strong business communication skills with stakeholders
Ability to design core, well-tested building blocks; user-centric thinking
Business-level Japanese/English proficiency
歓迎スキル（該当する場合）
Docker and Kubernetes
CI/CD experience
GPU compute experience
Experience building optimization systems for energy management
キャリア成長観点
Lead the development of energy-management optimization engines, gaining cross-functional impact across product, software, and business teams.
deepen expertise at the intersection of ML, optimization, and product delivery, with exposure to LLM/AI applications in optimization.
Work within Toyota’s global ecosystem, enhancing bilingual communication and collaboration with multiple stakeholders; shape scalable, maintainable components.
キャリアパスの例として Tech Lead / Senior Principal ML Engineer への道、エネルギー / モビリティ領域の専門性を深める道が開ける。