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

What you'll do

• Optimize user-value modeling, personalized messaging, recommendations, and intelligent marketing algorithms.
• Build user lifecycle data and value systems and help implement user-growth solutions such as personalized notifications and recommendation handling.
• Improve new-user recommendation relevance and diversity, and use uplift models and operations research to improve marketing efficiency.

What they ask for

• Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
• Solid 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 LLM/LRM techniques 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, or intelligent marketing; expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization.

Tools

LLMs, foundation models, NLP, CV, RL

AI focus

Apply and optimize machine learning, recommendation, and intelligent marketing methods for e-commerce user growth; the posting emphasizes bringing LLM/LRM techniques into production.