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Manager, Machine Learning Engineering

Shanghai, China💼 Full-time🗓 2026-02-13 → 2026-09-28

Core

Lead a specialized team of ML and MLOps Engineers to build, deploy, and scale AI-driven manufacturing applications for Apple's supply chain and product lifecycle.

Role type

Manager, Machine Learning Engineering

Builds

Production ML systems for manufacturing and supply chain

Domain

Manufacturing / Industrial IoT

Deliverable

production ML models

Required skills

Team leadership, technical vision, roadmap planning, stakeholder collaboration, talent acquisition, performance management, project delivery, architecture oversight, workflow optimization

Preferred skills

MLOps frameworks, containerization, scaling ML systems, edge/mobile deployment, cloud platforms, Python, PyTorch/TensorFlow, SQL, Linux, Agile/Scrum, Manufacturing domain knowledge

Technologies

Kubeflow, MLflow, Docker, Kubernetes, AWS, CoreML, Industrial PCs, Gateways

Responsibilities

Lead and mentor ML/MLOps team; collaborate with stakeholders to define AI use cases; define engineering roadmap; recruit and retain talent; manage project delivery; oversee technical architecture and code quality; monitor progress and resolve roadblocks; optimize development workflows.

Seniority

Manager, hands-on leadership

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