Senior ML Architect: Physics-Informed AI & Prod Systems

Western Digital Corporation

Singapore

Hybrid

SGD 180,000 - 240,000

Full time

5 days ago
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Job summary

Western Digital Corporation is seeking a ML Technical Lead to architect and own physics-informed AI systems for precision inspection and product development. You will lead CNN/U‑Net/ViT based pipelines, real‑time anomaly detection, and surrogate model workflows, while guiding platform engineering for ML lifecycle management.

The role emphasizes end‑to‑end ownership from design to production, collaboration with domain scientists, and mentorship of junior engineers in a globally distributed

Qualifications

  • Bachelor’s or Master’s in AI/ML/CS or equivalent depth via open-source contributions or GitHub portfolio
  • 3–5 years of hands-on technical AI/ML experience
  • Proven ownership of AI systems from design to production deployment
  • Track record leading a small ML/AI engineering team and shipping ML models to product

Responsibilities

  • Design and Own CNN, U‑Net, and ViT systems for precision inspection and defect classification
  • Develop real-time anomaly detection from sensor/time-series data streams
  • Validate and deploy PINNs and surrogate models into product environments
  • Own the full ML platform (MLflow, Docker, AWS EKS) and CI/CD pipelines
  • Provide technical direction and mentor team members

Skills

Python
PyTorch
Computer Vision
Anomaly Detection
Surrogate Modeling
Active Learning
MLOps

Education

Bachelor’s or Master’s in AI/ML/CS

Tools

MLflow
Docker
AWS EKS
LangFuse/PortKey

Job description

Western Digital Corporation is seeking a ML Technical Lead to architect and own physics-informed AI systems for precision inspection and product development. You will lead CNN/U‑Net/ViT based pipelines, real‑time anomaly detection, and surrogate model workflows, while guiding platform engineering for ML lifecycle management.

The role emphasizes end‑to‑end ownership from design to production, collaboration with domain scientists, and mentorship of junior engineers in a globally distributed

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