ML / Data Scientist, Perception

Woven by Toyota

Python

Data Science

About this role

Within the AD/ADAS perception team, this data-science role supports human-centered automated-driving systems for personal and commercial use. The team develops perception technologies and production software, applying large-scale data and machine learning to real-world problems involving camera-based perception. Responsibilities include planning how market, test-vehicle and simulator data is collected, sampled, labeled and used to improve model performance. The role builds scalable data pipelines and automation for machine-learning and performance evaluation, analyzes large datasets to identify characteristics and propose technical solutions, and leads data work with the team and Toyota group while strengthening team data-science capability. Applicants need 2+ years in the listed industries or research areas (AD/ADAS, robotics and computer vision), plus 2+ years in data science or a related area covering machine learning, deep learning, statistical analysis and mathematical modeling. They also need software-development experience with Python for data science, a database and cloud-platform services, and a bachelor’s degree in science or engineering.

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