Remote Deep Learning Engineer - Computer Vision & 3D AI

tuul.ai; Illinois; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly

Europe/US time zones

Job summary

tuul.ai is seeking a Deep Learning Engineer to design, train, and deploy computer vision and spatial reasoning models. You will work across the full pipeline from data preparation to edge deployment on mobile devices, with remote-friendly collaboration.

The role emphasizes hands-on experience with PyTorch, CNN/Transformer architectures, and model optimization, plus strong Python skills and the ability to iterate rapidly.

Qualifications

• Experience with PyTorch in production (2+ years).
• Strong understanding of CNN and Transformer architectures.
• Hands-on model training from scratch and fine-tuning.
• Experience with model optimization and deployment (quantization, pruning, ONNX).
• Experience with computer vision tasks (detection, segmentation, tracking).
• Strong Python skills and ML tooling familiarity.
• Ability to debug model behavior and iterate quickly.

Responsibilities

• Design, train, and deploy deep learning models for CV and spatial tasks.
• Work across the full pipeline from data preparation to production deployment on mobile/edge devices.
• Collaborate with team and clients to deliver impactful features.

Skills

PyTorch production experience

CNN/Transformer architectures

Training from scratch & fine-tuning

Model optimization & deployment

Computer vision tasks

Python & ML tooling

Debugging & rapid iteration

Job description

tuul.ai is seeking a Deep Learning Engineer to design, train, and deploy computer vision and spatial reasoning models. You will work across the full pipeline from data preparation to edge deployment on mobile devices, with remote-friendly collaboration.

The role emphasizes hands-on experience with PyTorch, CNN/Transformer architectures, and model optimization, plus strong Python skills and the ability to iterate rapidly.