Driver Workload Estimation AI Engineer, Info Mobility Car
Woven by Toyota4 months ago
Tokyo, JapanMid Level
Responsibilities
- Design, implement, and improve machine-learning-based driver workload estimation algorithms using vehicle CAN signals, in-vehicle sensors, and driver operation logs.
- Build and operate training-data infrastructure and evaluation pipelines, including annotation policies, preprocessing, and feature engineering.
- Improve logic that combines CAN-based workload indicators with surrounding-vehicle and vision-based measures.
- Design interfaces and specifications that provide workload estimates to driving-suggestion and voice-prompt systems.
- Collaborate with software engineers, test engineers, UX members, and stakeholders on requirements, metrics, experiments, and technical findings.
- Plan and conduct simulator and on-road vehicle evaluations as needed, including business travel, and drive improvement cycles from real-world results.
Requirements
- At least 3 years of practical software or algorithm-development experience primarily using vehicle CAN signals, in-vehicle sensors, and driver operation logs as time-series data.
- Practical experience developing algorithms with machine learning, deep learning, and/or statistical modeling.
- Development experience in Python using major machine-learning or deep-learning frameworks such as PyTorch or TensorFlow.
- Ability to independently manage the end-to-end machine-learning process from preprocessing and feature design through training and evaluation.
- Ability to communicate technical topics and evaluation results clearly with multiple stakeholders.
- Willingness to travel for business as required.
- Business-level Japanese proficiency and conversational-level English.
- Experience in in-vehicle systems, ADAS, driver monitoring, robotics, production ML deployment, edge or embedded optimization, inference pipelines, model operations, or Unity-based simulation is preferred.
- A bachelor’s degree in computer science, electrical/electronic engineering, control engineering, or a related field, or equivalent practical experience, is preferred.
- External outputs such as competition results or academic publications in machine learning, signal processing, or related fields are preferred.
Benefits
- Flexible working hours.
- 20 days of paid holiday per year, prorated.
- 6 days of sick leave per year, prorated.
- Weekends, Japanese national holidays, and other company-defined holidays off.
- Japanese social insurance, including health insurance, pension, workers’ compensation, unemployment insurance, and long-term care insurance.
- Housing allowance.
- Retirement benefits.
- Rental car support.
- In-house software and language training programs.
- Applications and interviews are supported through Google Meet, and resumes may be submitted in English or Japanese.
- Ability and willingness to work at the Susono office is a stated preference.
Categories
About Woven by Toyota
Woven by Toyota exists to accelerate Toyota’s once-in-a-century transformation from a car company into a mobility company. Rooted in a legacy of reinvention, we carry forward a singular founding principle: to innovate for the benefit of others. Today, we are driving this transformation from two vantage points: redefining how vehicles are built, experienced, and connected to the world to realize a true software-defined vehicle, and reimagining how people, goods, information, and energy move and interact in society to empower individuals from all walks of life. Through these two lenses, we combine bold innovation with real-world execution, bridging the gap between present and future to help Toyota evolve its business and its role in society.