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

What you'll do

• Optimize user value modeling, personalized messaging, recommendations, and intelligent marketing algorithms.
• Build user lifecycle data and value systems to address user-growth challenges.
• Implement and improve growth solutions, including personalized notifications and new-user recommendations, and use uplift models and operations research to improve marketing efficiency.

What they ask for

• Currently pursuing an undergraduate degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Strong machine-learning and engineering fundamentals, including model mathematics, clean and reproducible coding, algorithms, and data structures.
• Deep research or engineering practice in at least one of LLMs/foundation models, NLP, CV, RL, or recommendation/search/ads.
• Enthusiasm for deploying LLM/LRM techniques in production and ability to define and decompose ambiguous problems.

Nice to have

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

Tools

LLMs, foundation models, NLP, CV, RL, recommendation, search, ads

AI focus

Apply machine learning to e-commerce user growth, recommendations, personalized messaging, and intelligent marketing; optimize uplift models and new-user recommendation algorithms.