[ engineering ]
Senior Ml Systems Engineer, Frameworks & Tooling
Cohere- Location
- Remote
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Cohere. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Senior ML Systems Engineer at Cohere focused on building and evolving the training framework for large-scale language models. This role involves working on distributed systems and HPC infrastructure to enable fast, reliable, and scalable model training, connecting research ideas to GPU clusters.
Skills and focus areas
- ml systems
- large-scale training
- distributed systems
- hpc infrastructure
- data loading
- caching
- performance profiling
- ml metrics
- monitoring
- reproducibility
- regression testing
- fault-tolerant distributed checkpointing
Summary written by Ramai from the original posting. Full details and requirements are on Cohere’s careers page.
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