SciML Engineer
7 days ago
Applied SciML Engineer
We're looking for an engineer with deep expertise in scientific machine learning and
computational geometry to build production ML systems for physical simulation data.
Requirements
Core Deep Learning Experience (3+ years)
- Hands-on deep learning training with scientific datasets: CAD geometries, CFD
simulations, or similar physical data
- End-to-end model development: data preparation, training, hyperparameter tuning
Multi-GPU training and GPU memory optimisation
- PyTorch and PyTorch Lightning proficiency
Technical Depth
Demonstrated experience (via publications in top venues OR 3+ years
industry experience) in one or both areas:
Computational Geometry
: PointNet, DGCNN, TripNet, MeshGPT, or similar geometric
deep learning architectures
Scientific ML
: PINNs, DeepONet, FNO, Transformers for physics, SCoT, Poseidon, or
related physics-informed models
Evidence of Impact
Publications in leading ML/computational science conferences/journals OR
proven track record building SciML systems in industry.
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