Backend / Applied Machine Learning Engineer, Integrated Mobility Infrastructure System

Woven by Toyota

3 months ago

2.7 on Glassdoor

Tokyo, Japan

Hybrid

Full Time

Medior

0 applicants

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About this role

This role focuses on developing and operating machine learning models to improve traffic safety and optimize traffic efficiency within Woven City, Toyota’s experimental mobility-focused city. The engineer will work on forecasting road user behavior and building physical access control systems that support real-world mobility demonstrations. The position sits at the intersection of mobility, infrastructure, and digital technology, contributing directly to Toyota’s broader transformation into a mobility company.

Skills

Qualifications

Bachelor Degree in Machine LearningBachelor Degree in Data ScienceBachelor Degree in StatisticsBachelor Degree in Computer Science

About Woven by Toyota

woven.toyota

Woven by Toyota is Toyota’s technology and engineering subsidiary focused on building software, products, and services to develop next‑generation vehicles and realize a mobility society where everyone can move freely, happily, and safely. The company designs platforms for automated driving, mapping and simulation, connected‑vehicle software, and new mobility experiences that integrate vehicles with urban infrastructure. Combining systems engineering, data science, and product development, Woven partners across Toyota and the broader industry to accelerate scalable, safety‑focused mobility solutions.