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machine learning distributed systems training infrastructure code review📋 Description
- Review and improve code across training frameworks.
- Identify risky changes before landing; raise code quality.
- Debug ML training systems, GPUs, and infrastructure.
- Help unblock training jobs and workflows.
- Improve reliability and usability of the training framework.
- Move quickly on engineering problems affecting velocity.
🎯 Requirements
- Strong software engineering fundamentals and code review judgment.
- Experience with ML systems, training frameworks, GPUs, or distributed infra.
- Read and debug unfamiliar code quickly; root cause analysis.
- Ship high-quality code with velocity and pragmatic judgment.
- Low-ego, responsive, and helpful to researchers.
- Experience reviewing messy or AI-generated codebases.
🎁 Benefits
- Relocation assistance to new employees.
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