Modeling & Simulation Machine Learning Engineer
Core
Develop Digital Twins and surrogate models for virtual qualification and optimization of high-speed manufacturing processes in the consumer goods industry using Modeling & Simulation (M&S) and Machine Learning (ML).
Role type
Senior IC machine learning engineer (manufacturing simulation)
Builds
Digital Twins, fast surrogate models of complex engineering processes, virtual manufacturing systems
Domain
Consumer goods manufacturing, engineering simulation, data science
Deliverable
production ML models
Required skills
Python, R, C++, Finite Element Analysis, Computational Fluid Dynamics, production system modeling, big data analysis, first principles engineering, AI-assisted software development
Preferred skills
Deep Learning, data mining, optimization, model reduction, high-performance parallel computing
Technologies
TensorFlow, Keras, Unix/Linux, Java, Scala
Responsibilities
Combine first principles concepts with advanced ML to develop surrogate models; balance in-house development against turnkey solutions; own build/buy recommendations and technical due diligence; collaborate with cross-functional R&D and engineering teams.
Seniority
Entry Level