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

What you'll do

• Build user lifecycle data and value systems and contribute to user-growth product and technical solutions.
• Optimize recommendation recall and ranking to improve relevance, accuracy, and diversity for new users.
• Apply uplift models and operations research methods to improve marketing efficiency and e-commerce GMV growth.

What they ask for

• Completing or recently completed a bachelor's degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Experience with C++ and Python.
• Experience with at least one big-data tool (e.g., Hive SQL, Spark, or MapReduce) and one deep-learning tool (e.g., TensorFlow or PyTorch).
• Strong foundation in algorithms and data structures, with excellent coding skills.

Nice to have

• Completing or recently completed a master's degree in a related discipline.
• Research publications in top AI conferences/journals, notable ACM or machine-learning competition results, or relevant experience in recommendations, advertising, user growth, or intelligent marketing.

Tools

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

AI focus

Develops recommendation, user-value modeling, personalized messaging, intelligent marketing, and new-user ranking algorithms; applies uplift models and operations research to improve marketing.