Job description

Role: Applied SciML (Scientific Machine Learning ) Engineer Location: Santa Clara, CA MUST HAVE: Scientific Machine Learning, GPU, Pytorch, Computational Geometry Experience 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, hyperparameter tuning • Multi-GPU training and GPU memory optimization • PyTorch and PyTorch Lightning proficiency Requirements 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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machine learningml

Platform: zoho-recruit
Effort: medium