Applied SciML (Scientific Machine Learning ) Engineer
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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
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: 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 a proven track record building SciML systems in industry
Vacancy posted 1 day ago
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