machine_learning_engineer.htm

Notes on ML Engineer Role

E.g. https://jobs.lever.co/imbue/9411e2ec-502a-403f-a39a-0d44c676b6afi

Example projects • Implement a self-supervised network using contrastive and reconstruction losses. • Create a library on top of PyTorch to enable efficient network architecture search. • Open source internal tools. • Implement networks from newly published papers. • Work on tools for simple distributed parallel training of deep neural networks. • Develop more realistic simulations for training our agents. • Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc). • Create visualizations to help us deeply understand what our networks learn and why.

You are • Very comfortable writing Python. • Familiar with PyTorch and training deep neural networks. • Excited to work on open source code. • Passionate about engineering best practices. • Self-directed and independent. • Excellent at getting things done.