Develops autonomous-driving and ADAS technology through vehicle-motion-control design, driver-behavior analysis, traffic-participant modeling, and machine-learning-based control algorithms.
About this role
This role is part of Mazda’s roughly 10-person AI team, which works across the company on productivity improvement and new value creation. Its domains include business improvement, product-development efficiency, factory quality improvement and labor reduction, and MaaS-related new business. The assignment varies with experience and team needs.
The data scientist analyzes internal data using statistics, machine learning, reinforcement learning and deep learning. The work covers data analysis, visualization of findings in reports, and programming for analysis and simulation. It uses live business data and includes communication with users; named tools include Python, R and frameworks such as PyTorch.
Applicants need large-scale AI data-analysis experience, mathematics and statistics at a science-degree level or equivalent computer-science knowledge, and machine-learning, reinforcement-learning and deep-learning expertise sufficient to understand papers submitted to ICML, NeurIPS, AAAI or IJCAI. Programming in Python or R and framework experience such as PyTorch are required.
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