Driver Workload Estimation AI Engineer, Info Mobility Car
Woven by Toyota6 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 develops software for automated driving, advanced driver assistance, and software-defined vehicles, primarily for Toyota and its partners. Its products include Arene (a vehicle software platform), AD/ADAS technologies, and the Woven City test course, supported by cloud and AI infrastructure. Founded in 2023 and headquartered in Chuo-ku, Tokyo, it operates as a Toyota Motor Corporation subsidiary focused on vehicle software and mobility systems.