流量调控与调度算法工程师 - 抖音电商
Core
Design and implement large-scale operations research (OR) and matching models for the 'traffic-anchor-product' three-dimensional matching scenario to optimize traffic allocation and maximize GMV/monetization efficiency in live streaming e-commerce.
Role type
Senior IC algorithm engineer (operations research & traffic scheduling)
Builds
Large-scale OR models, dynamic traffic scheduling systems, multi-objective optimization frameworks, and causal inference/uplift models for e-commerce traffic distribution.
Domain
E-commerce, Live Streaming, Operations Research, Machine Learning
Deliverable
production ML models
Required skills
Operations Research (LP/MIP/Convex Optimization), Game Theory, Causal Inference, Uplift Modeling, Python, C++, TensorFlow, PyTorch, Spark, Flink
Preferred skills
Publications in KDD/NeurIPS/ICML/AAAI, Experience with ride-hailing/food delivery dispatch systems, Experience with traffic pacing/budgeting or recommendation system re-ranking
Responsibilities
Construct large-scale OR and bilateral market matching models to solve high-concurrency traffic allocation problems; Implement dynamic scheduling algorithms and traffic control strategies for real-time intervention in live streaming traffic distribution; Build multi-objective optimization frameworks balancing commercial revenue, user experience, and ecosystem health; Apply causal inference and uplift modeling to quantify marginal benefits of traffic tilting for different anchor tiers.
