Summary
The job is for a remote Machine Learning Engineer at Imbue, where the primary responsibility is to work on cutting-edge deep learning research and tooling towards creating general human-like machine intelligence. The role offers flexible working hours, remote work, time and budget for learning, and a competitive compensation package.
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
Responsibilities
- 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
Benefits
- Flexible working hours
- Work remotely
- Time and budget for learning and self-improvement
- Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $170,000β$350,000 cash, $10,000β$2,000,000 in equity