Backend Engineer , AML Engine Orchestration
Tasks
- Build preemption and rescheduling mechanisms
- Design distributed computing APIs and runtimes
- Develop distributed orchestration frameworks
- Develop distributed training runtime for recommendation models
- Enhance diagnosability and usability of distributed training systems
- Implement scheduling and load adaptation across multi datacenter multi region multi cloud
- Integrate auto scaling and automatic parallelization
- Optimize MLOps workflows for online recommendation systems
- Optimize cluster utilization and load balancing
- Optimize distributed inference architecture for online learning
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Spark | Auto Scaling | Distillation | Distributed Systems | Distributed Training | Embeddings | Fine Tuning | GPU Training | Go | Golang | Job Scheduling | Kubernetes | Load Balancing | MLOps | Model Inference | Multi-cloud | Multi-region | Multi-tenant | Multi-tenant systems | Python | Ray | Reinforcement Learning | Resource Preemption | TFX | TensorFlow | VLLM | YARN
Education
Roles
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