Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start (PhD)
San Jose, California, United States
USD 162K-316K Entry-level Full Time
Tasks
- Build lifecycle orchestration for online model serving
- Build multi tenant resource and quota systems
- Design orchestration capabilities for machine learning platforms
- Implement deployment upgrade rollback autoscaling and disaster recovery
- Improve GPU utilization and cost efficiency
- Manage QoS SLA and latency availability
- Manage model and image distribution
- Perform topology aware scheduling and request routing
- Provide serving orchestration and traffic management
Perks/Benefits
- N/A
Skills/Tech-stack
Autoscaling | Cluster scheduling | Container Runtime | Cross cluster | Cross-cluster scheduling | Deployment | Disaster Recovery | Elasticity | Fair Sharing | FinOps | GPU Utilization | KV cache | Kubernetes | Kubernetes Operator | Latency optimization | Linux | Model Serving | Multi-Cluster | Multi-tenant | Preemption | Quality of Service | Request Routing | Resource Quota | Rollback | SLA management | Scheduling | Stateful Workloads | Traffic Management
Education
Regions
Countries
States
Cities
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