豆包大模型算法工程师-火山方舟
Core
Optimize large language models (LLMs) for quality, adaptability, and complex capabilities like reasoning and generation across various scales and applications.
Role type
Senior IC machine-learning engineer (large language models)
Builds
Production LLMs for content creation, education, role-playing, agents, AI search, and code assistance
Domain
Artificial Intelligence / Natural Language Processing
Deliverable
production ML models
Required skills
Large language model pretraining, supervised fine-tuning (SFT), reinforcement learning (RL), NLP algorithms, C/C++ or Python, data structures and algorithms
Preferred skills
Publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD), awards in programming/AI competitions (ACM/ICPC, NOI/IOI, Top Coder, Kaggle), leading high-impact LLM projects
Technologies
LLM pretraining, SFT, RL, NLP frameworks
Responsibilities
Discover and apply simple, universal ideas to optimize models across scales; advance data construction, instruction tuning, preference alignment, and continued pretraining; explore complex instruction following, long-context understanding, and multi-turn dialogue capabilities; optimize model performance for specific services like AI search and code assistants; build evaluation datasets and automated assessment capabilities for complex scenarios; research and expand LLM applications in ToB enterprise services like search, recommendation, and customer service.
