Equilibrium Propagation Specialist
2 weeks ago
About the Job:
Rain AI is seeking a highly skilled ML Research Engineer to join our team in developing a software framework for Equilibrium Propagation (EP) in PyTorch. The successful candidate will have the opportunity to work on a cutting-edge project that has the potential to significantly impact the field of AI.
Compensation: $180,000 - $250,000 per year.
Key Duties:
The ML Research Engineer will be responsible for developing a software framework for EP simulations in PyTorch. This will involve designing and implementing a scalable framework that can be used to train large neural networks using EP.
Responsibilities:
- Developing a software framework for EP in PyTorch
- Collaborating with researchers to develop new EP algorithms and techniques
- Optimizing the framework for performance and efficiency
- Conducting research on the applications of EP in real-world scenarios
- Integrating EP with other machine learning frameworks and tools
Requirements:
- Master's or Ph.D. in Computer Science, Machine Learning, or related field
- Experience with deep learning frameworks and PyTorch
- Proficient in Python and C++ programming languages
- Excellent teamwork and communication skills
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