Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start
San Jose, California, United States
USD 128K-256K Entry-level Full Time
Tasks
- Apply KV cache affinity
- Build Kubernetes operators for ML workloads
- Build online model serving lifecycle orchestration
- Design machine learning orchestration capabilities
- Develop multi tenant resource and quota systems
- Develop serving traffic management and request routing
- Enable GPU utilization optimization
- Enable multi cluster operation and disaster recovery
- Implement container runtime lifecycle management
- Implement model image distribution and deployment
- Implement topology aware scheduling
- Manage model upgrades rollback and autoscaling
- Provide QoS SLA management
Perks/Benefits
- 401k match
- Life insurance
- Long-Term Disability coverage
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short-term disability
- Wellbeing benefits
Skills/Tech-stack
Algorithms | Autoscaling | C++ | Concurrent programming | Containerization | Continuous batching | Data Structures | Disaster Recovery | Distributed Systems | FinOps | GPU Programming | Go | KV cache | Kubernetes | Linux | Logging | Machine Learning | Model Serving | Monitoring | Multi-Cluster | Multi-tenancy | NPU programming | Networking | Performance optimization | Profiling | Python | Quota Management | Request Routing | Resource scheduling | Topology Aware Scheduling | Traffic Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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