Character.AI
Machine Learning Infrastructure Engineer
$150K–$350K
Redwood City, CA · Hybrid · Full-time · Posted Apr 24, 2025
- Experience
- 4+ years supporting infrastructure within an ML environment.
About the job
Supports ML research and product by building and maintaining infrastructure for training and serving machine-learning systems.
What you'll do
- Support ML research and product infrastructure, including monitoring deployments and managing experiments.
- Build tools to diagnose cluster issues and hardware failures.
- Maximize GPU allocation and utilization for serving and training.
What they ask for
- Experience supporting infrastructure in an ML environment.
- Experience developing tools 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, large language model training, ML frameworks like Pytorch/TensorFlow/JAX, or GPU kernel development.
Pay
$150K – $350K (base salary)
Tools
Compute Engine, Kubernetes, Cloud Storage, Pytorch, TensorFlow, JAX
AI focus
Supports ML research and product through infrastructure for ML training and serving.
Model-written summary · the original posting is authoritative