大模型Post-Training 算法工程师
Tasks
- Analyze instruction following and QA bottlenecks
- Apply RLHF and RLAIF methods
- Apply SFT methods
- Build automated training data construction and synthesis
- Design and implement LLM post training pipelines
- Develop online data flywheel for continuous iteration
- Optimize model algorithms for quality and stability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Deep learning | Human Feedback | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Mixture of Experts | Natural Language | Natural Language Processing | PyTorch | Python | RLAIF | RLHF | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | SFT | Transformer
Education
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