About the Position

Applied Machine Learning Engineer, Integrated Mobility Infrastructure System

Location: Tokyo, Japan

Employment Type: Employee

Work Location Type: Hybrid

About Woven by Toyota

Woven by Toyota is enabling Toyota’s 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. Our work centers on four pillars: AD/ADAS, Arene, Woven City, and Cloud & AI. Together, we aim for a world with zero accidents and enhanced well-being for all.

For more information about Woven City, please visit: Woven City

Responsibilities

Design, develop, and operate predictive models to forecast the future behavior of various road users - including vehicles, pedestrians, and cyclists - based on time-series location and other relevant data.
Design, develop, and operate a physical access control system for people, vehicles, and goods to enable demonstration testing in Woven City.
Collaborate with other engineers to define requirements, design software architecture, engage in coding, and conduct testing.
Collaborate with diverse teams, including city platform, operations, security, and others to ensure safe and comprehensive implementation of requirements.
Collaborate with stakeholders and partners, including TMC and other Toyota group companies.
Enhance the technical skills of team members through proactive contributions and mentorship.

Requirements

Bachelor’s degree in Machine Learning, Data Science, Statistics, Computer Science, or a related field (Master’s or Ph.D. preferred), or equivalent professional experience.
3+ years of commercial or equivalent system development experience using programming languages such as Python, and frameworks such as PyTorch, TensorFlow, and scikit-learn.
Practical experience in technical selection, requirements analysis, design, implementation, operation, and continuous improvement of software in the field of machine learning.
Understanding of fundamental software development tools and processes, including Git, Docker, and CI/CD.
Knowledge of MLOps workflows, including data preparation, preprocessing, model training, evaluation, optimization, and deployment.
Good communication, a proactive mindset, and strong problem-identification and solving skills.
Business level proficiency in Japanese or English and passion to develop English or Japanese skill as a second language.

Nice to Have

Experience in developing algorithms for position estimation or collision prediction using time-series location data and map information.
Experience in data analysis and modeling of time-series data.
Experience in data analysis and modeling of map information and GIS (Geographic Information System) datasets.
Understanding and practical application experience with probabilistic generative models and state estimation models.
Industry knowledge in fields such as transportation and autonomous driving.
Business level proficiency in Japanese and English.

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.

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.

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Applied Machine Learning Engineer, Integrated Mobility Infrastructure System

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Job Description, Responsibilities & Requirements