Computer Vision & AI Engineer (2D/3D Imaging)

CoDentist | Los Angeles, California, United States | 2d ago

full-time | hybrid | entry | bachelor in Computer Science

skills: computer vision, deep learning, 2d imaging, 3d imaging, pytorch, tensorflow, ai inference, gpu, cloud environments, geometry, rendering, 3d pipelines, image to 3d reconstruction, generative ai, image to image generation, facial landmark detection, dental landmark detection, smile design, aesthetic modeling, 3d reconstruction, point clouds, dicom, cbct, ct segmentation, photo to 3d alignment, 3d mesh generation, printability validation, cad cam, 3d printing, diffusion models, gans

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CoDentist is building an AI-native platform at the intersection of healthcare, computer vision, and advanced manufacturing.

We are reimagining how dentistry works, connecting real-time smile simulation with end-to-end 3D restorative workflows. From a single 2D image, our system generates highly realistic before and after simulations in seconds, then translates those designs into manufacturing-ready 3D models for veneers, crowns, mockups, and full-arch restorations.

We are looking for a Computer Vision and AI Engineer to help build this from the ground up.

This is a 0 to 1 build opportunity.

What You Will Work On:

You will operate at the intersection of computer vision, generative AI, and 3D geometry, working on problems such as:

• Single image to 3D reconstruction

• Image to image generation with high realism including lighting, lips, and textures

• Facial and dental landmark detection

• Smile design and aesthetic modeling

• Handling real-world edge cases including blur, occlusion, and constrained inputs

• CBCT and CT scan segmentation and DICOM-based workflows

• Photo to 3D alignment and landmark-based registration

• 3D mesh generation, repair, and refinement

• Printability validation and manufacturing constraints

• Translating AI outputs into manufacturing-ready 3D models for CAD CAM, 3D printing, and milling

Qualifications:

• Strong experience in computer vision and deep learning

• Experience working with both 2D and 3D data including images, meshes, and point clouds

• Experience with frameworks like PyTorch, TensorFlow, or similar

• Experience building and deploying AI inference systems in GPU and cloud environments

• Understanding of geometry, rendering, or 3D pipelines

• Ability to move fast, experiment, and build from first principles

Bonus if you have:

• Worked on image to 3D or generative modeling including diffusion, GANs, or image to image systems

• Experience with medical imaging including CBCT, CT, radiographs, and DICOM

• Built systems that translate AI outputs into real-world applications such as manufacturing, healthcare, or robotics

Why This Role

• Build a category-defining product from zero

• Work on real-world AI focused on outcomes, not just models

• Direct impact on a massive, underserved healthcare category

• Small team with high ownership and no bureaucracy

Benefits

high ownership · no bureaucracy

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