Machine Learning Infrastructure Engineer
Hybrid (Redwood City, CA)$150k - $350kFull-timePosted 11mo ago
About the role
Seasoned ML Infrastructure engineers to design, build, and maintain training and serving infrastructure for ML research and products at Character.AI.
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
Qualifications
- 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
Skills
Required:ML infrastructureCluster managementGPU utilization and scheduling
Benefits
- Top-notch health coverage for you & your family, with majority of the premium covered
- 401(K) contribution
- Paid leave up to 20 weeks for new parents
- 4 weeks of PTO
- Daily in-office catering plus a monthly Doordash stipend
- Monthly wellness stipend
Last updated Jul 15, 2026. Interested? Apply on the company site.
About Character.AI
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