Senior Machine Learning Engineer, Energy Products

📋 Job Overview

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. This position is responsible for leading the development of optimization engines for energy management systems that leverage BEVs to minimize energy costs effortlessly by automatically controlling charging and discharging behavior.

🏢 About Woven by Toyota

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation.

🎯 The Role

Toyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy. Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all. This team is responsible for planning services for BEV owners. They are composed of experts in electric power, software, UX, and new business development. You will report to a product delivery manager within the Energy Product team.

✅ Key Responsibilities

• Utilize state of the art technology to design, develop, and deploy the optimization engine controlling BEV charging/discharging to minimize household energy costs
• Build, train, and evaluate machine learning / optimization models (e.g., forecasting energy prices, demand, and vehicle usage; formulating and solving the control/optimization problem)
• Work with other engineers and the product manager, understand the needs of the complex environment and align development accordingly
• Identify issues, propose solutions, and solve problems, from a technical standpoint, by leading communication with internal & external stakeholders
• Work with integration teams to ensure the technologies you create, work usefully and seamlessly
• Mentor team members and promote engineering best practices through documentation, collaboration, and code quality

📌 Required Qualifications

• Bachelor’s degree in Computer Science or equivalent area
• 7+ years of relevant work experience in machine learning / optimization / data science
• Strong programming skills particularly in Python & Go and ML frameworks
• Experience taking ML models from prototype to production
• Knowledge of one or more cloud compute platforms, such as AWS
• Strong business communication skills with stakeholders
• Strong background in areas relevant to designing core, well tested building blocks that others can rely on
• Ability to think, design and code for the user’s perspective
• An infectious passion for solving complex problems, learning new techniques and technologies
• Business-level proficiency in Japanese / English

⭐ Desirable Experience

• Experience with container technologies like Docker and container management systems like Kubernetes
• Experience with build systems, continuous integration and/or co

🎁 Benefits

Competitive salary and benefits package.

🛂 Visa & Eligibility

Business-level proficiency in Japanese / English is required.