# Machine Learning Infrastructure Engineer

**Company:** [character.ai](https://hotfix.jobs/companies/characterai)
**Location:** Redwood City, CA
**Role:** ML Engineering
**Salary:** $150k – $350k/yr
**Experience:** 4+ years
**Skills:** Kubernetes, GCP, Compute Engine, Cloud Storage, Gpus, PyTorch, TensorFlow, JAX, Gpu Kernel Development, Large Gpu Clusters
**Posted:** 2025-04-24

> Designs, builds, and maintains ML training and serving infrastructure, providing support to research teams. Requires 4+ years in ML infrastructure, cloud platforms like Kubernetes and Google Cloud, and GPU experience.

## Job Description

## 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

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**Canonical:** https://hotfix.jobs/jobs/239e3232-bbff-4c93-9a3d-7a78d6dc58e0