Machine Learning Engineer
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Job Description
Machine Learning Engineer building physics-informed surrogate models for Molex’s electronic connectors and interconnect solutions. Accelerating engineering design optimization through Azure ML and GPU-based simulation prediction.
Responsibilities:
- Build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes from design parameters
- Pre-screen candidate designs in milliseconds so only promising designs require full high-fidelity simulation
- Design and train surrogate models, including neural networks, Gaussian processes, gradient-boosted trees, GNNs, and PINNs, on Azure GPU compute
- Incorporate physics-informed constraints to keep predictions physically valid
- Build model-uncertainty and confidence scoring to determine which designs need full simulation validation
- Retrain models as new simulation results arrive
- Deploy and version models through Azure ML endpoints and model registry
- Monitor models for drift on a rolling basis
- Benchmark surrogate versus full-simulation speedup to guide platform-level performance tuning
- Partner with data scientists, LLM engineers, and MLOps teams to maintain reliable, fast GPU-heavy training and simulation workloads
Requirements:
- Extensive hands-on experience building, training, and deploying ML models in production—not just using pretrained APIs
- 10+ years building ML for physical/engineering systems (surrogate modeling, physics-informed ML, or scientific ML)
- Strong Python with PyTorch or TensorFlow
- Understanding of relevant engineering/physics fundamentals and simulation data formats for your domain
- Experience with Azure Machine Learning or a similar cloud ML platform
- Familiarity with uncertainty quantification (Bayesian approaches, ensembling)
- Direct experience with industry-standard EM or physics simulation tools (advantageous)
- Geometric deep learning, including graph neural networks and mesh-based models, for CAD data (advantageous)
- Background in RF/high-speed electronics or interconnect design (advantageous)
Benefits:
- Variable pay, issued as a monetary bonus or in another form
- Medical insurance
- Dental insurance
- Vision insurance
- Flexible spending accounts
- Health savings accounts
- Life insurance
- Accidental death and dismemberment (ADD) insurance
- Disability insurance
- Retirement benefits
- Paid vacation/time off
- Educational assistance
- Infertility assistance (may apply)
- Paid parental leave (may apply)
- Adoption assistance (may apply)
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