Aisino Beijing 算法 jobs (salary & requirements)

Aisino Beijing 算法 salary range: 15K - 50K, where 100% of positions earn ¥15-50K
Aisino Beijing 算法 salary range: 15K-50K, the most positions earn 15-20K, based on 2 related positions in the past year, as of 2026-09-30
¥15-50K
100% of positions earn

Note: the average salary is analyzed based on job postings published by the company. We recommend reviewing it together with position type, education, region and experience.

Aisino Beijing 算法 salary changes over the years

Note: the data depends on salary samples of online job postings in the corresponding years and does not fully represent the actual situation within the company. For reference only.

Aisino Beijing related position salaries

Education requirements: 硕士 is the most common

What education does Aisino Beijing require for 算法 positions? 硕士占比最多,占50%,博士占50%

Salary by education

Aisino Beijing 算法 salaries by education: 硕士 ¥17.5K, 博士 ¥40.0K.

Experience requirements: 应届生 is the most common

What experience does Aisino Beijing require for 算法 positions? 应届生占比最多,占50%,3-5年占50%

Salary by experience

Aisino Beijing 算法 salaries by experience: 应届生 ¥17.5K, 3-5年 ¥40.0K.

Aisino Beijing 算法 hiring regions: mainly 北京

In which cities does Aisino Beijing have offices for 算法 positions? The main distribution is as follows: 北京 accounts for 100%. Click this module to view the proportions of other cities, based on job postings in the past year. For reference only.

Aisino Beijing 算法 hiring trends over the years

Aisino Beijing 算法 changes in hiring volume over the years

What does Aisino Beijing 算法 do

Based on related job postings of Aisino Beijing in the past year
  • 人工智能算法工程师

    北京-海淀区 | 应届毕业生 | 硕士以上 | 2026-08-25
    1-2万
    岗位描述:
    1.负责大语言模型/多模态模型的训练优化与微调工作,协助完成数据清洗、标注及模型评测。
    2.负责基于Transformer架构和DeepSpeed、vLLM、ROLL等训练框架实现基础算法模块开发、量化,优化模型推理效率与资源消耗。
    3.跟踪研究CCF A/B等前沿论文,复现SOTA算法并进行适应性改进以适配工程需要。
    4.参与智能体平台研发,探索与跟进Agent、MCP、AIGC等前沿技术。
    任职要求:
    1.2026年应届毕业生,计算机、人工智能、电子、通信及相关专业硕士及以上学历。
    2.精通Python,熟练使用PyTorch/TensorFlow框架,熟悉Hugging Face生态工具。
    3.参与过LLaMA/ChatGLM/Qwen等开源模型调优,熟练掌握DeepSpeed/Megatron等至少一种分布式训练方案,熟悉Transformer、BERT、GPT等经典结构,了解模型量化、蒸馏等压缩技术。
    4.良好的英文技术文档阅读能力,具备快速复现论文能力,有Kaggle/天池等竞赛获奖经历者优先。
    5.对智能体技术应用有浓厚兴趣,熟悉基于Transformer的预训练语言模型(如BERT、GPT等)。
    6.较强的沟通交流能力、学习能力、分析解决问题能力及团队合作精神。
    More
  • 人工智能高级算法工程师

    北京-海淀区 | 3-5年 | 博士以上 | 2026-08-25
    1.5-3万 򀀩

北京 算法 salary

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How much does 北京 算法 pay? 30-50K is the most common