業務内容

• Design, implement, and deploy features for the labeling platform from inception to production
• Solve complex problems and deliver cutting-edge data annotation solutions
• Collaborate with team leads and engineers to build the backend of labeling suites meeting functional and non-functional requirements
• Enable support for multiple ML training data formats and on-the-fly conversions
• Integrate with data sinks (e.g., ML visualization) to manage datasets owned by Data Annotations Engineering
• Define and maintain API contracts with frontend teams; report to the Data Annotation Engineering manager

技術スタック

必須スキル

• Python development (4+ years, with 2+ years asynchronous)
• Large-scale data handling, concurrency, distributed computing, blob storage
• Kubernetes
• PostgreSQL and MongoDB
• Event-driven architectures with multiple message queues
• English business level

歓迎スキル（該当する場合）

• Open-source contributions
• Spatial/geometry or vector databases
• PyTorch data loaders and 2D/3D ML data formats
• Deep learning fundamentals / ML concepts
• Image and point cloud processing

キャリア成長観点

• End-to-end ML data platform experience at scale within Toyota’s ecosystem, including data labeling and MLOps
• Opportunity to shape a standardized ML platform under Woven by Toyota, collaborating across ML engineers, data scientists, and frontend teams
• Growth in backend/data engineering, ML data workflows, and data governance, with exposure to global data delivery and hybrid work environments