Geometric Deep Learning Jobs (NOW HIRING)

Geometric Deep Learning: Proficiency with Open3D , PyTorch3D , or Trimesh for mesh processing and point cloud registration. * Spatial Transforms: Deep understanding of Euclidean geometry, 3D ...

... geometric deep learning, and diffusion models). • Expertise in molecular dynamics simulations and classical force fields (e.g., AMBER, CHARMM, OpenFF), as well as hands-on experience with molecular ...

... geometric deep learning, and diffusion models). • Expertise in molecular dynamics simulations and classical force fields (e.g., AMBER, CHARMM, OpenFF), as well as hands-on experience with molecular ...

Develop, evaluate, and benchmark ML models-including geometric deep learning, generative models, and co-folding architectures-for potency, selectivity, and ADMET prediction. Work cross-functionally ...

Develop, evaluate, and benchmark ML models-including geometric deep learning, generative models, and co-folding architectures-for potency, selectivity, and ADMET prediction. Work cross-functionally ...

Knowledge, Experience, and Skills: • Strong knowledge of deep learning architectures relevant to chemistry and structural biology, including graph neural networks, geometric deep learning ...

Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations. * Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow. * Strong ...

Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations. Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow. Strong foundation ...

Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations. * Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow. * Strong ...

Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations. * Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow. * Strong ...

You'll work across optimization, machine learning, and geometric deep learning on a hard, real-world combinatorial problem. This is a fully distributed team. We expect high autonomy and high ...

Demonstrated experience architecting and training deep learning models, particularly utilizing modern approaches (e.g., multimodal representation learning, geometric deep learning, and diffusion ...

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

Background in molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian ...

Demonstrated experience architecting and training deep learning models, particularly utilizing modern approaches (e.g., multimodal representation learning, geometric deep learning, and diffusion ...

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 ...

Evaluate emerging research in areas such as sequence modeling, geometric deep learning, representation learning, and foundation models. Data & Model Infrastructure * Build and maintain scalable ...

... geometric deep learning, and diffusion models). • Expertise in molecular dynamics simulations and classical force fields (e.g., AMBER, CHARMM, OpenFF), as well as hands-on experience with molecular ...

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

We seek highly-motivated applicants with background in one or more of the following areas: agentic AI, geometric deep learning, large-scale knowledge graphs, large language models, multimodal ...