校招-Ai研究科学家-大语言模型/视觉语言模型算法与后训练（博士优先）
Tasks
- Apply LLM as judge for evaluation
- Build model evaluation frameworks
- Build multimodal reasoning architectures
- Construct retrieval augmented generation systems
- Design long context memory structures
- Design post training alignment strategies
- Develop VLA models
- Develop patentable research outputs
- Implement DPO
- Implement RLHF
- Implement SFT
- Lead independent research projects
- Publish in top conferences and journals
Perks/Benefits
- N/A
Skills/Tech-stack
Adapters | Direct Preference Optimization | Fine Tuning | Flax | Function design | Human Feedback | Instruction Fine-Tuning | JAX | Knowledge Base | Knowledge Distillation | Language Models | Large Language Models | LoRA | Long Context | Model Distillation | Model Evaluation | Multimodal Learning | Multimodal fusion | Parameter efficient fine-tuning | Preference Modeling | Preference optimization | PyTorch | Python | QLoRA | RLAIF | Reinforcement Learning | Reinforcement Learning from AI Feedback | Retrieval-Augmented Generation | Reward function design | Supervised Fine Tuning | Transformer | Vision Language Models | Vision-language
Education
Roles
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