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Follow →Builds and maintains data pipelines and infrastructure to support AI/ML model training and analytics for a robotics-focused AI company.
Location: Heiwajima, Tokyo, Japan
Workplace: on_site
Employment Type: full
Designs and builds large-scale data pipelines and ML training systems for robotics applications using Python and TypeScript.
Builds and maintains production data pipelines for robotics telemetry, sensor data, and operational signals, integrating with cloud infrastructure (AWS) and enabling cross-team access for ML, analytics, and deployment teams.
Designs and maintains distributed data pipelines for robotics datasets, ensuring high-quality data for AI research and robotics applications.
Design and build scalable data pipelines and AI-powered solutions, transforming datasets into reliable products and actionable insights using cloud technologies and ML.
Build and maintain exabyte-scale distributed data pipelines for robotics training, partnering with researchers to deliver high-quality data for AI model development.
Build and maintain robotics data pipelines, ML training systems, and real-time tools for autonomous vehicles and embodied AI, using Python, C++, React, and cloud infrastructure.