Geometric Deep Learning Jobs in California (NOW HIRING)

... geometric deep learning or HPC. • Contributions to open-source geometric ML or GPU computing projects. Company : NVIDIA is a computing platform company operating at the intersection of graphics ...

Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to ...

PhD or equivalent experience in computational chemistry, biophysics, physics, or computer science with a focus on geometric deep learning or HPC. * Contributions to open-source geometric ML or GPU ...

PhD or equivalent experience in computational chemistry, biophysics, physics, or computer science with a focus on geometric deep learning or HPC. * Contributions to open-source geometric ML or GPU ...

Background in differentiable optimization and geometric deep learning approaches. Experience optimizing ML models for mobile deployment and resource-constrained environments. Knowledge of SLAM ...

Experience with equivariant architectures, geometric deep learning, or GNNs (NequIP, MACE, SchNet, PaiNN, or similar), and/or ML-assisted drug discovery. * Experience building in declarative workflow ...

Geometric deep learning: mesh / point-cloud networks, GNNs, PyTorch Geometric * CAD / B-rep, feature recognition, and turning part geometry into ML features * Retrieval and ANN at scale; embedding ...

Geometric deep learning: mesh / point‑cloud networks, GNNs, PyTorch Geometric * CAD / B‑rep, feature recognition, and turning part geometry into ML features * Retrieval and ANN at scale ...

Geometric deep learning: mesh / point-cloud networks, GNNs, PyTorch Geometric * CAD / B-rep, feature recognition, and turning part geometry into ML features * Retrieval and ANN at scale; embedding ...

Geometric deep learning: mesh / point-cloud networks, GNNs, PyTorch Geometric * CAD / B-rep, feature recognition, and turning part geometry into ML features * Retrieval and ANN at scale; embedding ...

Geometric deep learning: mesh / point-cloud networks, GNNs, PyTorch Geometric * CAD / B-rep, feature recognition, and turning part geometry into ML features * Retrieval and ANN at scale; embedding ...

Have conducted research in one or more areas such as spatial reasoning, geometric deep learning, 3D vision, multimodal reasoning, world models, robotics, simulation, or related fields. * Are fluent ...

Apply computer vision, geometric deep learning, and statistical modeling techniques to solve complex analytical challenges. * Benchmark model performance and optimize algorithms for robustness ...

Experience with geometric deep learning: point clouds, meshes, and spatially-aware architectures * Familiarity with physics-informed AI and surrogate modeling across a number of domains * Experience ...

Collaborate with Luminary Research to apply state‑of‑the‑art techniques -- neural operators, diffusion models, geometric deep learning, latent representations -- to real customer problems.

Collaborate with Luminary Research to apply state-of-the-art techniques - neural operators, diffusion models, geometric deep learning, latent representations - to real customer problems. * Embrace co ...

Background in machine learning for 3D perception - point cloud understanding, 3D detection/segmentation, geometric deep learning, or related areas. * Experience with CAD AI, design automation, or ...

ML on raw experimental data rather than processed structures * 3D vision and geometric deep learning backgrounds especially welcome Dataset generation and open release * Designing and running ...

Graph neural networks, geometric deep learning, equivariant models, neural operators, tensor methods, manifold learning, and learning on structured state spaces. * Models that combine prediction ...

You will architect and optimize high-performance deep learning models that generate dense ... Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency ...