Member of Technical Staff, Training Infra Engineer

Job summary

Responsibilities

Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world.

• Design and write high-performant and scalable software for training.
• Improve our training setup from an infrastructure and codebase performance standpoint.
• Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure
• Research, implement, and experiment with ideas on our supercompute and data infrastructure.
• Learn from and work with the best researchers in the field.

What they're looking for

• Extremely strong software engineering skills.
• Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
• Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray)
• Experience using large-scale distributed training strategies.
• Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure

Tech stack

• Python
• JAX
• PyTorch
• Kubernetes
• Ray