大语言模型后训练算法工程师
Tasks
- Collaborate with data and product teams on delivery standards
- Collect application feedback for model iteration
- Deploy model training pipelines
- Design reinforcement learning for language models experiments
- Design supervised fine tuning experiments
- Ensure output accuracy safety and consistency
- Improve training framework stability
- Optimize cloud training efficiency
- Optimize data loading
- Optimize model evaluation metrics
- Optimize multi machine communication
- Optimize resource scheduling
Perks/Benefits
- N/A
Skills/Tech-stack
Distributed Training | Docker | Evaluation metrics | Fine Tuning | Kubernetes | LLM Inference | Language Models | Large Language Models | Machine communication | Model Deployment | Multi Machine Communication | PyTorch | Python | Ray Serve | Reinforcement Learning | Resource scheduling | SGLang | Supervised Fine Tuning | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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