Work on long term projects to enable new research, which involve multiple team members and require good software engineering and design. Respond to time-sensitive issues arising in large-scale training runs, and in ongoing research. Make systematic improvements to technical workflows and tooling used across pretraining. Apply engineering expertise to help researchers navigate technical challenges. This requires both a deep understanding of the codebase and a broad understanding of the tech stack, the model architecture and data pipeline. Develop the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.
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