Applied SciML; Scientific Machine Learning ) Engineer

Position: Applied SciML (Scientific Machine Learning ) Engineer
Applied SciML (Scientific Machine Learning) Engineer

Santa Clara, United States | Posted on

Role:
Applied SciML (Scientific Machine Learning) Engineer

Location:

Santa Clara, CA

MUST HAVE:

Job Description

• 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, hyper‑parameter tuning

• Multi‑GPU training and GPU memory optimization

• 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:
Point Net, DGCNN, Trip Net, 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 a proven track record building SciML systems in industry

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