Design, develop, and operate predictive ML models to forecast future behavior of road users (vehicles, pedestrians, cyclists) using time-series location data and related inputs
Design, develop, and operate a physical access control system for people, vehicles, and goods for demonstration testing in Woven City
Collaborate with engineers to define requirements, design software architecture, implement code, and conduct testing
Work with diverse teams (city platform, operations, security) to ensure safe and comprehensive implementation
Engage with stakeholders and partners, including Toyota Motor Corporation and other Toyota group companies
Mentor teammates and uplift the team's technical capabilities through proactive contributions
技術スタック
必須スキル
3+ years of commercial experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
Practical ML software development across full lifecycle: selection, design, implementation, operation, and continuous improvement
Knowledge of MLOps workflows: data preparation, preprocessing, model training, evaluation, optimization, deployment
Proficiency with Git, Docker, and CI/CD
Strong communication, proactive mindset, and problem-solving能力
Business-level Japanese; willingness to develop English
歓迎スキル（該当する場合）
Position estimation or collision prediction algorithms using time-series location data and map information
Time-series data analysis and modeling
GIS data analysis and modeling
Probabilistic generative models and state estimation