Senior Machine Learning Engineer, Energy Products

業務内容

• 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。