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The Research Engineer will develop innovative generative 3D machine learning methods, train and optimize models, and refine 3D content generation processes, focusing on geometric accuracy and integrating physics-aware capabilities.

As a 3D Graphics & Rendering Engineer, you'll design and optimize synthetic datasets for 3D models, enhance rendering pipelines, and collaborate with research teams.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

The role involves building and maintaining ML and cloud infrastructure for training large-scale generative models. Responsibilities include designing GPU clusters, supporting distributed training, managing storage systems, and collaborating with researchers and engineers.

The role involves building and operating ML systems and infrastructure for large foundation models, data pipelines, and experiment orchestration in a collaborative environment.

Lead and optimize non-technical functions across operations, finance, legal, talent, fundraising, and external communications. Build processes, manage vendor and financial operations, run hiring and onboarding, support investor relations and GTM motions, and coordinate leadership meetings to ensure company alignment and execution.

Lead research on designing, building, training, and optimizing diffusion-based generative models for high-quality 3D content from diverse inputs, emphasizing world-scale scenes.