Applied SciML; Scientific Machine Learning ) Engineer

Applied SciML (Scientific Machine Learning) Engineer

Santa Clara, United States | Posted on 10/16/2025

Role:
Applied SciML (Scientific Machine Learning) Engineer

Location:

Santa Clara, CA

• 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.

• 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

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