腾讯营销-生成式推荐算法专家
Core
Lead technical planning and team management for marketing recommendation algorithms, focusing on large models, Agents, and leveraging trillion-scale data to drive model upgrades and performance breakthroughs.
Role type
Senior IC machine-learning engineer (marketing recommendation & generative AI)
Builds
Marketing recommendation systems and ad placement engines
Domain
Internet / Digital Marketing / AI
Deliverable
production ML models
Required skills
Large-scale machine learning training and inference, Recommendation large models, Multimodal large models, Generative AI, User interest modeling, Sequence representation learning, Unified modeling, Model scaling up, Training and inference optimization, Cross-functional team coordination
Preferred skills
Search, advertising, and recommendation (SER) algorithm management experience
Technologies
TensorFlow, PyTorch
Responsibilities
Plan technical direction for marketing recommendation algorithms around large models and Agents; Explore and implement user interest modeling, sequence learning, and generative modeling; Build core capabilities in samples, features, and models; Apply multimodal and generative AI to ad scenarios; Integrate Agents into algorithm R&D and business scenarios; Optimize internal technical solutions based on academic and industry trends.
Seniority
Senior, hands-on IC with team management
