大模型算法工程师（开放域对话）
Tasks
- Accelerate inference with vLLM
- Apply GRPO PPO and DPO optimization
- Build end to end dialogue data pipelines
- Clean and deduplicate raw corpora
- Develop LLM algorithms for open domain dialogue systems
- Engineer prompts and tool use strategies
- Improve intent recognition personalization and task success metrics
- Improve multi turn dialogue planning accuracy with agentic reinforcement learning
- Optimize foundation models with SFT and RLHF
- Quantize and distill models for faster inference
- Reduce hallucinations in agentic tool use
- Run offline evaluations and online A B testing
- Support low latency deployment on cloud or edge
- Track dialogue state with DST methods
- Train reward model datasets for reinforcement learning
Perks/Benefits
Skills/Tech-stack
DPO | Deep learning | DeepSpeed | Distributed Training | Function Calling | GRPO | Hallucination reduction | Knowledge Distillation | Language Models | Large Language Models | Model Quantization | OpenRLHF | PPO | Prompt engineering | Python | RLAIF | RLHF | React | Reinforcement Learning | Reward Modeling | SFT | Thought Intermediate Result | Tool use | VLLM
Education
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