Note: The job is a remote job and is open to candidates in USA. tuul.ai is hiring a Deep Learning Engineer to design, train, and deploy deep learning models for computer vision and spatial reasoning tasks. The role covers the full pipeline, from data preparation to production deployment on mobile and edge devices.
Responsibilities
- You'll be designing, training, and deploying deep learning models for computer vision and spatial reasoning tasks
- This includes everything from object detection and segmentation to novel 3D understanding problems
- You'll work across the full pipeline—from data preparation to production deployment on mobile and edge devices
Skills
- Strong experience with PyTorch (2+ years production experience)
- Deep understanding of modern CNN and Transformer architectures
- Hands-on experience training models from scratch and fine-tuning
- Knowledge of model optimization and deployment (quantization, pruning, ONNX)
- Experience with computer vision tasks (detection, segmentation, tracking)
- Strong Python skills and familiarity with ML tooling
- Ability to debug model behavior and iterate quickly
- Experience with 3D deep learning (point clouds, voxels, implicit representations)
- Knowledge of spatial AI and geometric deep learning
- Background in multi-view geometry and 3D reconstruction
- Familiarity with mobile ML frameworks (CoreML, TensorFlow Lite)
- Experience with self-supervised or weakly-supervised learning
- Knowledge of synthetic data generation and domain adaptation
Benefits
- Remote-friendly; flexible, remote-friendly work.
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