ML / Data Scientist, Perception

This data-science role sits in the AD/ADAS perception engineering organization, supporting human-centered autonomous-driving solutions by improving camera-image recognition models and production software. It works with large datasets from the market, test vehicles and simulators for recognition stacks intended for millions of vehicles. Responsibilities include setting data collection, sampling, labeling and usage strategies; designing scalable pipelines and automation for machine learning and performance evaluation; analyzing dataset characteristics; and proposing technical solutions. The role also leads data activities across teams, collaborates with Toyota Group companies and supports teammates' data-science development. Named tools include Python (NumPy, SciPy, scikit and pandas), databases, AWS, GCP or Azure. Candidates need 5+ years in AD/ADAS, robotics or computer vision, and 3+ years in data science or a related field involving machine-learning theory, such as deep learning, statistical analysis or mathematical models. The role also requires software-development experience with Python data-science libraries, databases and cloud-platform services, plus a bachelor's degree in a science or engineering field.