大模型Post-Training 算法工程师
Tasks
- Analyze complex instruction following and tool using bottlenecks
- Build and synthesize high quality training data
- Design LLM post training pipeline
- Develop automated data construction feedback loops
- Implement SFT and RLHF methods
- Optimize model performance and stability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Deep learning | Direct Preference Optimization | Fine Tuning | Human Feedback | Learning from Human Feedback | Machine Learning | Mixture of Experts | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Supervised Fine Tuning | Transformer
Education
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