Agent开发工程师-国际化广告信号度量（北京/上海）
Core
Develop autonomous agents for full-link ranking optimization (recall, coarse ranking, fine ranking, mixed ranking) and automated advertising bidding/decision-making to improve efficiency and multi-objective decision quality.
Role type
Senior IC Machine Learning Engineer (Ad Tech & Agentic Systems)
Builds
Autonomous ranking optimization agents, automated experiment systems, intelligent ad placement decision systems, and generative bidding agents.
Domain
Online Advertising, Recommendation Systems, Reinforcement Learning, Large Language Models
Deliverable
production ML models
Required skills
Python/C++/Go, PyTorch/TensorFlow, Transformer/MTL/CTR-CVR estimation, Reinforcement Learning, Decision Transformer/GRPO, LLM Agent/Multi-Agent collaboration, Tool use/Long-term memory
Preferred skills
ACM/ICPC/Kaggle experience, NeurIPS/ICML/ICLR/KDD/RecSys/SIGIR publications, Ad algorithm/Recommendation system experience, Open source contributions
Responsibilities
Research and develop autonomous agents for ranking optimization loops; Build automated experiment systems with cross-round memory; Develop ad placement decision systems integrating LLM and multi-agent collaboration; Construct generative bidding agents using RL and sequence decision models; Engineer high-concurrency, low-latency online systems for stable production deployment.
Seniority
Senior, hands-on IC
