ML / データサイエンティスト・Perception
Core
Developing perception engineering for autonomous driving and AD/ADAS systems, focusing on data strategy, model performance improvement, and scalable data pipelines for camera image recognition stacks.
Role type
Senior IC machine-learning engineer (perception)
Builds
Production perception software and ML models for AD/ADAS systems
Domain
Automotive, Autonomous Driving, Computer Vision
Deliverable
production ML models
Required skills
Deep learning, statistical analysis, mathematical modeling, Python (numpy, scipy, scikit-learn, pandas), database management, cloud platform services (AWS, GCP, Azure), data strategy, data pipeline design, automation, large-scale data analysis, technical solution proposal
Preferred skills
Master's or PhD in relevant field, 5+ years in data science, technical lead or management experience in product/business applications, petabyte-scale database analysis, camera image processing, data annotation rule design, infrastructure management (Docker, Kubernetes, Jenkins, GitHub Actions), automotive industry experience
Technologies
Python, numpy, scipy, scikit-learn, pandas, AWS, GCP, Azure, Docker, Kubernetes, Jenkins, GitHub Actions
Responsibilities
Design data strategies for collecting, sampling, labeling, and utilizing data from markets, test vehicles, and simulators to improve ML model performance; Design and improve scalable data pipelines and automation for machine learning and performance evaluation; Analyze large-scale data to understand characteristics and propose technical solutions for ML and performance evaluation; Lead data-related activities within the team and across the company, including collaboration with Toyota Group, and enhance team members' data science capabilities
Seniority
Senior, hands-on IC