Geometric Deep Learning Jobs (NOW HIRING)

Experience building, training, and evaluating deep learning models, including representation learning, geometric learning, multimodal learning, or generative modeling approaches. * Strong ...

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

You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics, developing models that learn 3D structure and dynamics from fleet-scale sensor data.

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 ...

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 ...

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

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 ...

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

Depending on the problem, your work may involve protein representation learning, graph and geometric deep learning, multimodal models, generative or diffusion models, active learning, Bayesian ...

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 ...

You will work at the intersection of large‑scale biological models, geometric deep learning, and structural biology. The role spans model development, training, evaluation, and scientific analysis ...

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

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

Experience with protein-ligand modeling, cofolding, structure prediction, geometric deep learning, or structure-aware molecular ML. * Practical experience with PyTorch, JAX, or an equivalent ML ...

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

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 ...

Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI. * Have a track record of writing ...