Senior Machine Learning Engineer
Core
Design, build, and deploy scalable ML systems and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) for engineering and manufacturing customers.
Role type
Senior IC machine learning engineer (delivery)
Builds
Production ML models, engineering surrogates, data/ML pipelines, and APIs for aerospace, defense, materials, energy, semiconductors, and automotive industries.
Domain
Deep-tech, AI-driven simulation, multi-physics engineering
Deliverable
production ML models
Required skills
End-to-end ML system design, scalable data pipeline construction, 3D point-cloud and mesh data manipulation, cloud and on-prem deployment, technical leadership, stakeholder communication
Preferred skills
Experience in commercial non-research environments, ability to work side-by-side with customers
Technologies
Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow
Responsibilities
Own deployment of ML models and engineering surrogates to customer production environments; communicate results and trade-offs to senior stakeholders; lead scoping and architecture design for data/ML systems; build robust and scalable ML systems, training and inference pipelines and APIs; mentor and develop engineers and data scientists; travel to customer sites globally to collaborate on-site.
Seniority
Senior, hands-on IC with leadership responsibilities