达人增长算法工程师-国际电商
Core
Build a tiered influencer system using potential modeling, LTV estimation, and profiling to drive precise operations; construct intelligent subsidy algorithms to incentivize activity and long-term value; develop a diagnostic framework using causal inference for factor mining and growth guidance; build intelligent Agents for automated decision-making in product selection and content creation.
Role type
Senior IC algorithm engineer (influencer growth & LLM Agents)
Builds
Influencer tiering system, intelligent subsidy workflows, diagnostic frameworks, and automated decision Agents
Domain
E-commerce, Influencer Marketing, Large Language Models (LLM)
Deliverable
production ML models
Required skills
Causal inference, Uplift modeling, LLM post-training (SFT/DPO/RLHF), Agent framework construction, Recommendation systems, Python, Hive SQL/Spark, Linux
Preferred skills
Graph networks, Combinatorial optimization, LLM fine-tuning (SFT/DPO/RLHF/RLVR), Academic publications (KDD/NeurIPS/etc.), Competitive programming
Technologies
Python, Hive SQL, Spark, MapReduce, Linux, RAG, Agent frameworks
Responsibilities
Design and implement potential modeling and LTV estimation for influencer segmentation; Develop algorithms for dynamic subsidies (traffic/discounts/cash) to boost influencer activity; Build causal inference frameworks for influencer health diagnosis and growth; Architect and deploy intelligent Agents for automated product selection and content creation workflows.
Seniority
Senior, hands-on IC