Senior/Staff Software Engineer- Machine Learning Infrastructure, Slack
Washington - Seattle, United States
USD 172K-313K Senior-level Full Time
Tasks
- Architect and optimize distributed training systems
- Build scalable ML systems
- Design infrastructure for training and inference
- Develop and maintain Kubernetes platforms
- Develop monitoring and observability for ML workloads
- Partner with ML and security teams
Perks/Benefits
Skills/Tech-stack
Cloud Platforms | Distributed Systems | Docker | GPU infrastructure | Kuberay | Kubernetes | Machine Learning | Model Deployment | Model Inference | Model Training | Monitoring | Observability | Ray | Terraform | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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