Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters. They will be pre-screening candidate designs in milliseconds so only the most promising ones require full high-fidelity simulation, accelerating the design-optimization cycle.
What You Will Do - Design and train surrogate models (neural networks, Gaussian processes, gradient-boosted trees, GNNs/PINNs) on Azure GPU compute (ND/NC series).
- Incorporate physics-informed constraints so predictions stay physically valid, not just statistically fit.
- Build model-uncertainty and confidence scoring to decide which designs need full simulation validation, then retrain as new results arrive.
- Deploy and version models via Azure ML endpoints and model registry; monitor for drift on a rolling basis.
- Benchmark surrogate vs. full-simulation speedup to guide platform-level performance tuning.
Who You Are (Basic Qualifications) - 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).
What Will Put You Ahead - Direct experience with industry-standard EM or physics simulation tools.
- Geometric deep learning (graph neural networks, mesh-based models) for CAD data.
- Background in RF/high-speed electronics or interconnect design.
For this role, we anticipate paying $170,000 - $250,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Our Benefits Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
