机器学习平台研发工程师
Tasks
- Build CRD and controller capabilities
- Build compute infrastructure
- Design resource scheduling
- Develop machine learning platform
- Extend Kubernetes scheduler
- Implement distributed data processing and computing frameworks
- Improve toolchain and developer experience
- Manage containers and runtime
- Optimize platform usability and performance
- Orchestrate training and inference tasks
- Support distributed training and inference
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Spark | Cloud Native | Container Runtime | DDP | DeepSpeed | Distributed Computing | Distributed Training | Docker | FSDP | Go | Golang | High Performance | High-Performance Computing | Kubernetes | Kubernetes CRD | Kubernetes Controller | MPI | OpenMP | Parallel Computing | Performance Computing | PyTorch | RDMA | Ray | Resource scheduling | Task Orchestration
Education
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