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Trip.com Group · Shanghai

# AI大模型算法专家LLM Algorithm Expert

Shanghai 

Listed on Trip.com Group’s official careers site. Posted June 4, 2026. Check that it is still open and apply there.
[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ035411&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / AI大模型算法专家LLM Algorithm Expert

## Job description

职位描述.主导大模型的算法研究、训练调优及工程化落地，提升模型性能和效率；.主导大模型压缩、分布式训练、推理加速等技术落地（如量化、MoE、FlashAttention等）；.结合业务场景（如对话系统、内容生成、知识推理）设计模型优化方案，解决数据稀疏性、幻觉抑制等挑战；.跟踪学术界与工业界最新进展，推动技术成果转化；.主导技术方案输出，协同工程团队实现高性能服务部署；.参与Agent架构设计，完成整体Agent项目落地。 任职资格.硕士及以上学历，2年以上大模型研发经验，5年以上算法研发经验；.精通PyTorch/TensorFlow框架，熟悉分布式训练工具；.深入掌握Transformer架构及衍生技术，有丰富的大模型调优经验；.熟练掌握大模型微调、蒸馏、强化学习等训练技术；.具备完整的大模型训练-部署全链路经验；.熟练掌握Agent架构；.有顶会论文发表者，英语流利优先。

### Job Description LLM R&D & Deployment

Lead algorithm research, training, fine-tuning, and engineering implementation of Large Language Models (LLMs) to enhance model performance and efficiency.

### Optimization & Acceleration

Drive the implementation of LLM compression, distributed training, and inference acceleration techniques (e.g., quantization, MoE, FlashAttention).

### Domain Adaptation & Challenge Mitigation

Design model optimization strategies tailored to business scenarios (e.g., conversational AI, content generation, knowledge reasoning) to address challenges like data sparsity and hallucination mitigation.

### Tech Transfer

Track frontier developments across academia and industry to drive the commercialization of technical achievements.

### Architecture & High-Performance Deployment

Lead the output of technical architecture solutions, collaborating with engineering teams to deploy high-performance model services.

### Agent Architecture

Participate in Agent system architecture design and drive end-to-end Agent project execution.

### Qualifications

Education & Experience: Master's degree or above; 2+ years of LLM R&D experience, with 5+ years of overall algorithm research and development experience.

### Frameworks & Infrastructure

Proficient in PyTorch/TensorFlow frameworks and experienced with distributed training tools.

### Core Architecture & Fine-Tuning

Deep mastery of Transformer architecture and related variant technologies, backed by extensive experience in LLM tuning.

### Training Techniques

Proficient in LLM fine-tuning, knowledge distillation, and reinforcement learning techniques.

### Full-Lifecycle Experience

Proven track record spanning the entire end-to-end pipeline from LLM training to deployment.

### Agent Expertise

Fluent in AI Agent architecture principles and design.

### Publications (Preferred)

First-author or major publications in top-tier conferences are preferred.

## At a glance
- Posted by the employer: Jun 4, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 137 days
- Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ035411&atsApiType=Moka)

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