Machine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 Start
San Jose, California, United States
USD 90K-90K Entry-level Internship
Tasks
- Build Kubernetes operators and job lifecycle management
- Design orchestration capabilities for machine learning platforms
- Develop multi tenant resource and quota systems
- Enable autoscaling and multi cluster operation
- Implement GPU utilization optimization and cost efficiency
- Implement serving traffic management and request routing
- Manage QoS SLA for distributed serving clusters
- Orchestrate online model serving deployment upgrades and rollback
Perks/Benefits
Skills/Tech-stack
Autoscaling | C++ | Computer networks | Concurrent programming | Container Runtime | Disaster Recovery | Distributed Systems | FinOps | GPU | GPU Utilization | Go | Kubernetes | Linux | Multi-Cluster | Multi-tenancy | Operating Systems | Performance optimization | Python | Quota Management | Resource scheduling | Traffic Management
Education
N/A
Regions
Countries
States
Cities
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