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 ...

Preferred : • Experience working with BIM data, digital twins, or construction-related sensor data. • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene ...

Apply and extend modern deep learning approachesrelevant to biologics, including protein language models,geometric deep learning, and generative methods (e.g., diffusion, inverse folding,ProteinMPNN ...

Apply and extend modern deep learning approaches relevant to biologics, including protein language models, geometric deep learning, and generative methods (e.g., diffusion, inverse folding ...

Apply and extend modern deep learning approachesrelevant to biologics, including protein language models,geometric deep learning, and generative methods (e.g., diffusion, inverse folding,ProteinMPNN ...

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 ...

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 ...

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 ...

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

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

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 ...

... 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 ...

Build and apply ML models informed by 3D structural data, including geometric deep learning, equivariant neural networks, and diffusion-based generative models for molecular design and property ...

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 ...

Experience with 3D geometric deep learning. * Machine learning researcher with professional experience (post-degree) in an industry setting. * Demonstrated research impact through conference talks or ...

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 ...

... geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates must hold a Ph.D. in a quantitative field, such as statistics, biostatistics ...