【26届校招】大语言模型后训练算法工程师（Foundation Model）
Tasks
- Build model evaluation metrics
- Collaborate with data and product teams
- Define delivery standards
- Deploy large language model services
- Design SFT experiments
- Enhance training framework stability
- Implement RLHF experiments
- Implement resource scheduling
- Improve data loading and multi machine communication
- Optimize SFT training efficiency in cloud
- Optimize accuracy safety consistency
- Optimize inference performance
Perks/Benefits
- N/A
Skills/Tech-stack
Data loading | Distributed Training | Docker | Fine Tuning | Inference Optimization | Knowledge Distillation | Kubernetes | LLM | Machine communication | Model Evaluation | Multi Machine Communication | PyTorch | Python | RLHF | 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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