Physics-Informed ML Engineer: Azure Surrogates

Molex is seeking an ML Engineer to build physics-informed surrogate models on Azure ML that predict engineering outcomes from design parameters. You will pre-screen designs in milliseconds to accelerate the design-optimization cycle.

We expect 10+ years building ML for physical systems, strong Python with PyTorch or TensorFlow, and experience with Azure ML. You will collaborate with data scientists, LLM engineers, and MLOps to keep GPU-heavy workloads fast and reliable.