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Salary
$45k – $54k per year
Location
In office (Changsha)
Employment
Full-Time

First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match
拓维信息是中国领先的国产软硬一体智能化产品提供商,业务涵盖软件/考试服务、智能计算、开源鸿蒙操作系统三大板块,服务数字政府、运营商、制造、交通、考试等行业1500多家政企客户,基于开源鸿蒙、昇腾AI等国产化技术底座,致力打造全栈国产数智化产品和解决方案,加速行业智能化,共赢人工智能新时代。.
Backed by Fortune Capital

岗位职责
1、负责 NLP 与大模型核心算法研发,包括预训练、指令微调 SFT、RLHF / DPO / GRPO、对齐、评测与迭代。
2、构建和优化 RAG、Agent、工具调用、多轮对话、知识问答、智能客服、文档理解等应用系统。
3、负责文本分类、信息抽取、情感分析、摘要、翻译、纠错、语义匹配、向量检索等传统 NLP 任务。
4、跟进 ACL / EMNLP / NeurIPS / ICML / ICLR 等前沿论文,完成复现、改进与业务落地。
5、优化大模型训练与推理性能,包括 LoRA / PEFT、蒸馏、量化、剪枝、vLLM、TensorRT-LLM、DeepSpeed、Megatron 等。
6、与产品、工程、数据团队协作,定义评测指标,进行 A/B 测试,持续提升模型效果与线上稳定性。
7、参与数据清洗、数据构造、标注规范、评测集建设与模型安全合规工作。
任职要求
1、计算机、人工智能、数学、统计、自动化等相关专业,本科及以上学历,硕士 / 博士优先。
2、扎实的 NLP 基础,熟悉 Transformer、Attention、BERT、GPT、T5、Embedding、序列标注等。
3、熟悉 Python,熟练使用 PyTorch / TensorFlow、Hugging Face、DeepSpeed、Megatron-LM 等框架。
4、有大模型训练、微调或部署经验,熟悉 SFT、RLHF、DPO、LoRA、PEFT 中至少一种。
5、熟悉 RAG、LangChain / LlamaIndex、向量数据库、Agent 框架者优先。
6、具备良好的工程能力,熟悉 Linux、Git、Docker、K8s、SQL 和数据处理。
7、有较强的问题分析、论文阅读、代码实现和团队协作能力。

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