Senior Technologist - Machine Learning
Core
Design and deploy physics-informed AI systems for precision product development, including deep learning for inspection and active learning pipelines to reduce physical experiment costs.
Role type
Senior Machine Learning Technical Lead (IC with team leadership)
Builds
Production ML systems for precision inspection, measurement, defect classification, and active learning pipelines
Domain
Industrial AI / Precision Product Development / Materials Science (via careerplan.io/jobs/744000153662059-senior-technologist-machine-learning-at-western-digital)
Deliverable
production ML models
Required skills
Python, PyTorch, Computer Vision (CNN, U-Net, ViT), Anomaly Detection, Surrogate Modeling, Active Learning, Bayesian Experimental Design, MLOps
Preferred skills
PINNs, Reinforcement Learning, RAG/GraphRAG, LLM Finetuning
Technologies
MLflow, Docker, AWS EKS, Kubernetes, LangFuse, PortKey
Responsibilities
Design and own deep learning systems for inspection and defect classification; Validate and deploy physics-informed AI (PINNs) and surrogate models; Architect active learning pipelines and Bayesian experimental design frameworks; Own the full MLOps platform including CI/CD and observability; Lead technical direction, code reviews, and mentor junior team members
Seniority
Senior, hands-on IC with team leadership
