【27届校招】大模型训练推理框架工程师
Tasks
- Build distributed reinforcement learning training environment
- Build evaluation platform for LLM VLM and multimodal models
- Design training communication scheduling and fault tolerance
- Develop MLOps toolchain for model versioning and experiment tracking
- Develop distributed training infrastructure
- Integrate evaluation reporting with CI CD
- Optimize large model inference deployment
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | C++ | CI/CD | CUDA | DeepSpeed | FSDP | Go | High Performance | High-Performance Computing | Kubernetes | MLOps | Megatron-LM | NCCL | Performance Computing | Python | Quantization | RDMA | Ray | Reinforcement Learning | TensorRT | VLLM
Education
Regions
Countries
States
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