KubernetesMongoDBPostgreSQLPyTorchPython
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
企業についての所感
高年収かつ高難易度の選考プロセスの企業。車両OSのArene、スマートシティのWoven Cityを支えるプラットフォームの開発など規模感の大きい開発をしている。
データ取得日: 2026/9/10