CodeSubmit Library
PyTorch Deep Learning Assessment
Test PyTorch developers with deep learning assessments covering neural network architectures, research workflows, and model optimization. Our PyTorch evaluations focus on dynamic computation graphs and research-oriented development.
Ideal for research roles and advanced machine learning positions requiring PyTorch expertise.
Deep Learning Research
PyTorch's dynamic computation graphs and research-friendly design make it the preferred choice for deep learning research and experimentation. Our assessments evaluate understanding of modern deep learning concepts.
Test proficiency in neural network design, training loops, distributed training, and PyTorch ecosystem tools.
The communication between hiring managers, recruiters and candidates has been incredibly improved since we started using CodeSubmit. There is no 'back and forth' anymore and the technical assessment is running smoothly!
Authentic tasks, not algorithm puzzles.
Take-Home Coding Challenges
Our extensive library of practical coding challenges provides an accurate assessment of candidate programming abilities while delivering a respectful and engaging interview experience.
Authentic engineering challenges:
