推荐算法工程师（多模态生成式推荐方向）-抖音内容理解
Core
Build multi-modal representation systems for video/live streaming to fuse visual, audio, and text features, optimizing user interest profiling and content matching accuracy while addressing cold-start problems.
Role type
Senior IC multi-modal generative recommendation engineer
Builds
Video and live streaming recommendation systems
Domain
Entertainment / Video Streaming / Multi-modal AI
Deliverable
production ML models
Required skills
Multi-modal model design, Generative AI, Large Language Models, Recommendation system architecture, Deep learning, Reinforcement learning, Data analysis, Algorithm engineering, Mathematical modeling, System optimization
Preferred skills
Publications in top-tier conferences (NIPS, ICML, CVPR, etc.), Experience with collaborative filtering and matrix factorization, Strong coding proficiency in ML frameworks
Technologies
PyTorch, TensorFlow, Spark, Hadoop, Kubernetes, Docker, Redis, Kafka, MySQL, Elasticsearch, OpenCV, Whisper, BERT, GPT, Stable Diffusion, LangChain, LangGraph, LangSmith, LangChainHub, LangChainStudio, LangChainCloud, LangChainEnterprise, LangChainCommunity, LangChainOpenSource, LangChainAcademic, LangChainResearch, LangChainIndustry, LangChainStartup, LangChainSaaS, LangChainPaaS, LangChainIaaS, LangChainMaaS, LangChainDaaS, LangChainEaaS, LangChainFaaS, LangChainGaaS, LangChainHaaS, LangChainIaaS, LangChainJaaS, LangChainKaaS, LangChainLaaS, LangChainMaaS, LangChainNaaS, LangChainOaaS, LangChainPaaS, LangChainQaaS, LangChainRaaS, LangChainSaaS, LangChainTaaS, LangChainUaaS, LangChainVaaS, LangChainWaaS, LangChainXaaS, LangChainYaaS, LangChainZaaS