Deep Learning Researcher - PhysicsAI
USD 143K-197K (estimate) Mid-level Full Time
Tasks
- Assess gaps in current genAI technologies
- Collaborate with application engineers to capture requirements
- Communicate technical findings clearly
- Develop generative AI methods for product design
- Identify deep learning methods for surrogate modeling
- Implement models into Simcenter PhysicsAI
- Test models on industrial engineering problems
- Write production-quality code
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Computational Fluid Dynamics | Deep learning | Differential Equations | Diffusion Models | Distributed Training | Element analysis | Experiment tracking | Finite Element Analysis | Finite element | Fluid Dynamics | GCP | GPU Training | Generative AI | Graph Neural Networks | MLOps | Machine Learning | Mesh Processing | Model Deployment | Neural Networks | Normalizing flows | Numerical Methods | Partial differential equations | PyTorch | Surrogate modeling | TensorFlow | Transformer
Education
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