Senior Machine Learning Engineer, Energy Products

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. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all. ========================================================================= ========================================================================= Important Points ・All interviews will be arranged via Google Meet, unless otherwise stated. ・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version. ・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process. WHAT WE OFFER ・Competitive Salary - Based on experience ・Work Hours - Flexible working time ・Paid Holiday - 20 days per year (prorated) ・Sick Leave - 6 days per year (prorated) ・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company ・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance ・Housing Allowance ・Retirement Benefits ・Rental Cars Support ・In-house Training Program (software study/language study) Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

TEAM

WHO ARE WE LOOKING FOR?

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

MINIMUM 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 English and conversational-level proficiency in Japanese

NICE TO HAVES

Experience with container technologies like Docker and container management systems like Kubernetes

Experience with build systems, continuous integration and/or continuous deployment (CI/CD)

Experience working with GPU compute (for ML components)