多模态大模型算法工程师-商业信任与安全
Core
Develop and deploy large-scale multimodal models to identify and govern problematic ad content and advertisers, reducing false advertising and improving ad quality.
Role type
Senior IC multimodal large model algorithm engineer
Builds
Production multimodal models for content understanding, interaction, generation, and logical reasoning in advertising
Domain
Advertising technology + Multimodal AI (NLP/CV/Graph/LLMs)
Deliverable
production ML models
Required skills
C/C++ or Python, data structures and algorithms, multimodal and large model training, reinforcement learning (RL)
Preferred skills
ACM/ICPC/Top Coder/Kaggle awards, leading influential projects or publishing papers in LLMs
Technologies
NLP, CV, Graph, Large Language Models, Reinforcement Learning, Multimodal models
Responsibilities
Adapt and optimize large-scale multimodal models for business scenarios; Build data pipelines, instruction tuning, and preference alignment for multimodal models; Apply models to image/video/text understanding, interaction, generation, and reasoning; Research and track frontier technologies in multimodal AI and related fields; Explore future application scenarios for multimodal models.
