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Lead 3D Machine Learning Engineer Computational Geometry & CAD Automation - Kabil's Grillz
ML Engineer
Lead 3D Machine Learning Engineer to design an AI‑driven pipeline that transforms raw intraoral scans into ready‑to‑print CAD models, leveraging advanced computational geometry, Boolean operations, and machine learning for automated tooth isolation and parametric offset generation.
About the role
Key Responsibilities
- Design and implement an end‑to‑end AI pipeline that ingests raw 3D intraoral scans and outputs ready‑to‑print CAD models.
- Develop robust computer vision models for accurate tooth isolation and segmentation.
- Apply computational geometry techniques to generate parametric offsets and perform flawless Boolean subtraction.
- Integrate machine learning components with CAD software to automate the entire production workflow.
- Collaborate with cross‑functional teams to refine algorithms, optimize performance, and ensure manufacturability.
Requirements
- Strong background in Python and machine learning frameworks (PyTorch, TensorFlow).
- Proficiency in computational geometry, 3D modeling, and CAD software APIs.
- Experience with Boolean operations and parametric design for additive manufacturing.
- Excellent problem‑solving skills and ability to translate complex math into production‑ready code.
- Effective communication and teamwork in a fast‑paced, high‑quality manufacturing environment.
Skills
pythonmachine learning