✨ About The Role
- The role involves reading research papers and experimenting with state-of-the-art approaches in 3D scene understanding and Scan-to-CAD conversion.
- The engineer will develop new algorithms and train neural networks to solve the Scan-to-CAD conversion problem.
- Collaboration with various teams is crucial to improve the efficiency of manual Scan-to-CAD conversion through automation.
- The position includes improving the ML infrastructure by setting up efficient data pipelines and automating training and deployment processes.
- The job offers an opportunity to generate significant business impact by leveraging a unique dataset of scans and CAD models.
âš¡ Requirements
- The ideal candidate will have deep expertise and extensive hands-on experience with modern machine learning techniques in the field of computer vision.
- A strong ability to rapidly iterate and experiment is essential, with skills to quickly evaluate ideas and test their fit to product needs.
- Candidates should possess strong skills in reviewing research literature, with the ability to grasp key concepts and ideas efficiently.
- Proficiency in Python and PyTorch is required for this role.
- Strong communication skills and fluency in English are necessary for collaboration across multiple time zones and cultures.