大语言模型算法工程师-豆包大模型
Core
Discover and apply simple, universal creative ideas to optimize large language models (LLMs) across various scales, focusing on data construction, instruction tuning, preference alignment, and continued pre-training to enhance model quality and adaptability.
Role type
Senior LLM Algorithm Engineer (Optimization & Application)
Builds
Optimized LLMs for content creation, education tutors, role-playing, complex agents, AI search, tool integration, and code assistants.
Domain
Artificial Intelligence / Large Language Models / NLP
Deliverable
production ML models
Required skills
LLM pre-training, SFT, RL algorithms, complex instruction understanding, long-context handling, multi-turn dialogue reasoning, automated evaluation, ToB scenario exploration
Preferred skills
Publications in NeurIPS/ICML/ICLR/CVPR/ICCV/ACL/KDD, awards in ACM/ICPC/NOI/IOI/Top Coder/Kaggle, strong C/C++ or Python proficiency
Technologies
Python, C/C++, LLM frameworks, evaluation datasets
Responsibilities
Optimize model performance for specific services like AI search and code assistants; build automated evaluation capabilities for complex scenarios; explore and expand ToB application scenarios such as search, recommendation, advertising, and customer service.
