Govserviceshub is hiring: 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

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