推荐算法工程师-随变
Core
Optimizing content distribution for a platform focused on AI-native original character creation and user engagement with 2D/anime content.
Role type
Senior IC recommendation algorithm engineer (content distribution & creative agent optimization)
Builds
Content feed recommendation systems and AI-driven creative agent frameworks for user-generated original characters
Domain
AI/ML, Content Recommendation, Creative AI
Deliverable
production ML models
Required skills
Recommendation systems, LLM engineering, Agent framework development, User preference modeling, Cold start optimization, Interest migration, LLM hallucination mitigation
Preferred skills
Published papers in top conferences, ACM/ML competition awards, Experience in core algorithmic business (RecSys, AdTech, Search)
Technologies
LLM, LLM4Rec, Agent Harness frameworks
Responsibilities
Optimize feed content distribution for 2D/anime and OC content; Develop and optimize OC creation Agent harness including task orchestration and context management; Build and optimize user preference and memory systems; Design and iterate dialogue strategies; Automate testing and evaluation for agents.