Machine Learning Engineer Graduate (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 growth-engine solutions to increase e-commerce DAU and penetration.
• Improve new-user recommendation and intelligent marketing algorithms to increase recommendation quality and marketing efficiency.

What they ask for

• Completing or recently completed a PhD in Computer Science, Electrical Engineering, or a related technical field.
• Experience with C++ and Python.
• Proficiency with at least one big data tool and one deep learning tool.
• Strong algorithms and data structures foundation, excellent coding skills, and strong communication and teamwork skills.

Nice to have

• Publications in top AI conferences or 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

C++, Python, Hive SQL, Spark, MapReduce, TensorFlow, PyTorch

AI focus

Applies machine learning and AI to user growth, personalized recommendations and messaging, user value modeling, and intelligent marketing.