机器学习平台研发工程师
Tasks
- Build Kubernetes CRD and controller services
- Build machine learning platform
- Design and develop large-scale compute platform
- Develop compute infrastructure
- Develop distributed data processing workflows
- Extend Kubernetes scheduler capabilities
- Improve resource utilization for training and inference
- Improve toolchain and developer experience
- Optimize platform usability and performance
- Support distributed training and inference
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Spark | CRD | Controller | DDP | DeepSpeed | Docker | FSDP | Go | Kubernetes | MPI | OpenMP | PyTorch | RDMA | Ray
Education
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