Applied AI Researcher (Multimodal 3D)
Tasks
- Build 3D dental data pipelines
- Build GPU training and experiment tracking pipelines
- Convert prototypes into production ML systems
- Define training losses and evaluation metrics
- Design train and iterate deep learning models for geometry and vision
- Explore multimodal models for 3D scan and clinical text fusion
- Implement 2D computer vision detection and segmentation
Perks/Benefits
- 25 days holiday
- Annual company retreat
- Birthday off
- Flexible work from home
- Hybrid working
- Private medical insurance
- Quarterly socials
- Team lunches
Skills/Tech-stack
3D Geometry | 3D geometry processing | CNN | Cloud processing | Computer Vision | Data Augmentation | Experiment tracking | GPU Training | Geometry Processing | Graph Neural Networks | Image preprocessing | Keypoint detection | Language Models | Loss Functions | Mask R-CNN | Mesh Processing | Model Evaluation | Multimodal Learning | Neural Networks | Object Detection | Open3D | Point Cloud | Point Cloud Processing | PointNet | PyTorch | PyTorch Geometric | Pytorch3D | R-CNN | Reinforcement Learning | Segmentation | Supervised Learning | Transformers | Trimesh | Unsupervised Learning | Vision Language Models | Vision-language | YOLO
Education
N/A
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