Data Scientist, Mobility AI and Computer Vision

Role and responsibilities
This role develops AI-related technologies for mobility products and services, covering projects from near-term commercialization to longer-term research and development. The work may support driving-control systems, location-based mobility services, or vehicle interior and exterior monitoring systems. Responsibilities include algorithm design, implementation, and evaluation for vehicle-environment recognition, occupant-state estimation, human-machine interaction, road anomaly detection, and behavior or intent estimation.

Projects include low-speed automated driving and automatic braking, which use environmental-recognition technology to identify objects around a vehicle and estimate its position. Another project develops services for the automated-driving era by estimating people’s conditions inside and outside the vehicle and creating human-machine interactions intended to support safe, comfortable travel. The “Michilogs” project uses data collected from driving vehicles to detect road abnormalities and improve planning and implementation of road maintenance. The stress-free entry project addresses automatic door operation and suspicious-person detection through behavior and intent estimation.

The successful candidate collaborates with product-development divisions. The wider team develops AI solutions for vehicle products and services using diverse data, and works closely with an AI researcher group. Team members have backgrounds in automotive manufacturing, other manufacturing industries, IT, and software.

Required qualifications are practical experience developing AI models, including algorithm design, implementation, and evaluation, plus experience working on development with multiple team members, including specification coordination, reviews, and collaboration. Preferred experience includes leadership in AI or software development, analysis of non-image sensor data such as millimeter-wave radar, LiDAR, or sonar, development in cloud environments such as AWS or Azure, and work experience in automotive, electrical, or other manufacturing industries. The posting also seeks people who can proactively propose and act on new topics and technologies, involve internal and external colleagues, view the overall project, and move work forward while learning from setbacks.

The named languages and environments are C, C++, Python, Windows, and Ubuntu. The listed deep-learning frameworks are TensorFlow, Keras, and PyTorch. English at TOEIC 600 or equivalent is welcomed but not required; English may be used occasionally for email, reading materials, telephone conferences, and business meetings.

This is a full-time, permanent position based at the Daiba Development Center in Koto-ku, Tokyo. Standard hours are 8:30–17:30, with variations by site; some departments use a flextime system without core hours and with an eight-hour standard day. The posting lists remote work and a work-from-home system. Annual holidays total 121 days in the 2026 plan, including Saturdays, Sundays, spring, summer, and year-end/New Year holidays, as well as paid, condolence, and long-service leave. At least eight days of paid leave are granted three months after joining, and the stated paid-leave utilization rate is 100%.

Benefits include dependent-child and commuting allowances, a retirement allowance, company housing or dormitories, training, public qualification and self-development support, an employee stock ownership plan, nursing-care leave, a staff cafeteria, support for employee-contributed individual pensions, company resorts and contracted sports facilities, an in-house childcare facility, defined-contribution pension, and the Aisin corporate pension fund. Employment, workers’ compensation, health, and employees’ pension insurance are provided. The office is entirely smoke-free, and an office-casual dress policy is recommended. Interviews may be held online or in person; transportation costs are paid for in-person interviews.