滴滴大模型算法工程师(北京)(J230707017)

任职要求

1. 有计算机科学、数学、统计学或相关领域的硕士或博士学位； 
2. 熟悉Python与深度学习框架，具有良好的编程能力和扎实的数学理论基础； 
3. 关注行业前沿进展，对技术开发及应用有热情，有自己的想法并乐于挑战自我； 
4. 良好的沟通能力，跨团队协作能力，具备出色的规划、执行力，强烈的责任感，以及优秀的学习能力和自我驱动力； 

Qualification：
•	MS or PhD in Computer Science, Computer Engineering, Mathematics, Statistics or related fields
•	Experienced in Python and deep-learning, Excellent programming skills, Knowledgeable of mathematical concepts
•	Keep up with the latest scientific literature and advancements in the LLM domain, suggesting potential improvements or integrations
•	Excellent communication and collaboration skills, as well as the ability to work independently and manage multiple projects simultaneously. Being self-motivated 

加分项 
1. 有相关领域的开源项目、竞赛获奖、顶会论文发表/在投； 
2. 熟悉LangChain、DeepSpeed等LLM开源工具，工程能力较强；
Preferred experience:
•	Experienced in building orchestration using tools such as LangChain, DeepSpeed and other open-source tools
•	Project experience of large language models, awarded in competition, first author publications at top conferences or in the process of submission

工作职责

1. 参与基础大语言模型应用研发； 
2. 结合机器学习、强化学习等技术优化基础大语言模型 
3. 调研并探索SFT/RLHF方向前沿算法、框架，持续提升现有算法的效率与效果。 

Responsibility:
•	Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research
•	Use machine learning, reinforcement learning and other technologies to optimize fundamental large language models
•	Directly contribute to experiments related to supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF), continuously improving the effectiveness of existing algorithms