Machine Learning Engineer
December 16, 2023
🏡 Remote – Anywhere in California
Description
• As a remote machine learning engineer, you’ll work very closely with a senior member of our research team on cutting-edge deep learning research, infrastructure, and tooling towards the goal of creating general human-like machine intelligence. • 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.
Requirements
• 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.
Benefits
• Work directly on creating software with human-like intelligence • Very generous compensation • Flexible working hours • Work remotely • Time and budget for learning and self improvement
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