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.