Software Engineer, ML Systems & Training Architecture
Tasks
- Debug ML training failures
- Diagnose GPU cluster networking issues
- Improve maintainability and usability
- Improve training framework reliability
- Perform code reviews and raise code quality bar
- Review and improve training framework code
- Unblock broken training jobs
Perks/Benefits
Skills/Tech-stack
Code review | Debugging | Distributed Systems | Docker | GPU Computing | Kubernetes | Linux | Machine Learning | Networking | Python
Education
N/A
Regions
Countries
States
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