Machine Learning Engineer Intern (E-Commerce User Growth) - 2027 Start (PhD)

What you'll do

• Optimize user value modeling, personalized messaging, recommendation, and marketing algorithms.
• Build user lifecycle data and value systems and implement user-growth solutions to increase e-commerce DAU and penetration.
• Improve new-user recommendation and intelligent marketing algorithms to increase recommendation quality, marketing efficiency, and GMV.

What they ask for

• Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
• Strong machine-learning and engineering fundamentals, including algorithms and data structures, and ability to write clean, efficient, reproducible code.
• Deep research or engineering experience in at least one of LLMs/foundation models, NLP, CV, RL, recommendation, search, or ads.
• Enthusiasm for applying LLM/LRM techniques in production and strong problem definition and decomposition skills.

Nice to have

• Publications in top AI conferences/journals or notable results in ACM/Machine Learning competitions.
• Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields; expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization.

Tools

LLMs, foundation models, NLP, CV, RL

AI focus

Applies machine learning, recommendation, search, uplift modeling, and operations research to e-commerce user growth, personalized marketing, and new-user recommendations; encourages production use of LLM/LRM techniques.