Member of Technical Staff - Distributed Training Engineer

Remote Remote · San Francisco

pytorch research & engineeringfulltime

ashby

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Job description

Join a team focused on building distributed training infrastructure for AI systems in San Francisco. You'll work on optimizing performance and reliability for large-scale training runs.

Details

San Francisco, remote work available
Competitive salary with equity
Hands-on experience with distributed training infrastructure required
Skills in PyTorch needed

The work

Design and build core systems for large training runs
Build scalable distributed training infrastructure for GPU clusters
Optimize distributed efficiency and eliminate I/O bottlenecks
Create monitoring and debugging tools for training stability