Machine Learning Engineer Graduate (Global E-Commerce, User Growth) - 2027 Start (PhD)
Tasks
- Apply large language models and AI agents for marketing use cases
- Build promotion algorithms for user demand elasticity modeling
- Deploy machine learning models into production
- Design globally optimal allocation and pricing algorithms
- Develop causal inference and uplift modeling for marketing conversion
- Develop large scale CTR CVR estimation models
- Implement multi objective optimization for advertising systems
- Integrate real time vouchers into recommendation pipelines
- Optimize budget allocation and pricing using operations research
- Research and productionize reinforcement learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | CTR Prediction | CVR Prediction | Causal Inference | Deep learning | Dynamic Programming | Generative Recommendation | Integer Programming | Language Models | Large Language Models | Linear Programming | Machine Learning | Multi-Objective Optimization | Objective optimization | Operations Research | Recommendation Systems | Reinforcement Learning | Search Algorithms | Uplift Modeling
Education
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