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This position is at the intersection of a deep learning scientist and a software engineer. In this role you'll read the latest research papers on neural networks and implement them in common frameworks, as well as in proprietary formats. You'll need to assess their correctness (such as their structure, convergence, and numerical stability) for inference and training across computational devices and frameworks. Passion for reading and understanding the latest research papers in the space is required. The work will begin with Python and pseudo-code, and you'll also be expected to deep dive into frameworks code (C).