Machine Learning Infrastructure Engineer

Character·Redwood City, CA·Remote·Posted 24 April 2025

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About the role

ABOUT THE ROLE We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. 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 serving and training Requirements: - 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) - Experience working with GPUs Nice to have - 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 ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through…

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