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 IC machine learning technical lead (physics-informed AI)
Builds
Deployed ML systems for precision inspection, measurement, defect classification, and active learning pipelines for laboratory scheduling.
Domain
Industrial AI / Precision Product Development / Materials Science
Deliverable
production ML models
Required skills
Python, PyTorch, Computer Vision (CNN, U-Net, ViT), Anomaly Detection, Surrogate Modeling, Active Learning, Bayesian Experimental Design, MLOps (MLflow, Docker, AWS EKS)
Preferred skills
PINNs, Reinforcement Learning, RAG/GraphRAG, LLM Finetuning (LoRA, QLoRA)
Technologies
PyTorch, MLflow, Docker, AWS EKS, Kubernetes, LangFuse, PortKey
Responsibilities
Design and own CNN, U-Net, and ViT systems for precision inspection; validate and deploy PINNs methodology; architect active learning pipelines and Bayesian experimental design frameworks; own the full MLOps platform; lead design reviews and mentor junior team members.
Seniority
Senior, hands-on IC with technical leadership