豆包大模型算法工程师-火山方舟
Core
Discovering and applying simple, universal 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 IC large language model algorithm engineer (optimization & application)
Builds
Optimized LLMs for content creation, education tutors, role-playing, complex agents, AI search, tool use, and code assistants.
Domain
Artificial Intelligence / Large Language Models / NLP
Deliverable
production ML models
Required skills
LLM pre-training, SFT, RL algorithms, complex instruction handling, long-context understanding, multi-turn dialogue reasoning, automated evaluation, ToB scenario adaptation
Preferred skills
Top-tier conference publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD), competitive programming/AI awards (ACM/ICPC, NOI/IOI, Top Coder, Kaggle), leading high-impact projects in LLMs
Technologies
C/C++, Python, NLP algorithms
Responsibilities
Optimize model performance for specific services like AI search, recommendation, advertising, customer service, and office automation; build and maintain evaluation datasets for complex scenarios; explore new application scenarios for LLMs in enterprise services.