Machine Learning Infrastructure Engineer

United States·Redwood Cityfull-timemid

OtherMachine Learning Infrastructure Engineer

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Quick Summary

Overview

About the role We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.

Key Responsibilities

Provide infrastructure support to our ML research and product Build tooling to diagnose cluster issues and hardware failures Monitor deployments, manage experiments, and generally support our research Maximize GPU allocation and utilization for both…

Requirements Summary

4+ years of experience supporting the infrastructure within an ML environment Experience in developing tools used to diagnose ML infrastructure problems and failures Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)…

Technical Tools

kubernetespytorchtensorflowmachine-learningnetworking

About the Role

~1 min read

We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.

Responsibilities

~1 min read

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4+ years of experience supporting the infrastructure within an ML environment
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Experience in developing tools used to diagnose ML infrastructure problems and failures
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Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)
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Experience working with GPUs

Nice to Have

~1 min read

Experience with large GPU clusters and high-performance computing/networking
Experience with supporting large language model training
Experience with ML frameworks like Pytorch/TensorFlow/JAX
Experience with GPU kernel development

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Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI!

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