ashby
Machine Learning Infrastructure Engineer
Character.AI
Redwood City, USA
Full-time
Mid · 4+ years experience
Hybrid
USD 150000-350000 yearly / year
Discovered 1 weeks ago
KubernetesCompute EngineCloud StorageGPUsPyTorchTensorFlow
Free
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KubernetesCompute EngineCloud Storage
Role Overview
We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.
Key Skills for This Role
KubernetesCompute EngineCloud StorageGPUsPyTorchTensorFlow
Full Job Posting
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
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