Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start
Core
Build and optimize algorithms for TikTok e-Commerce user growth, including user value modeling, personalized recommendations, and intelligent marketing to drive DAU and GMV.
Role type
Machine Learning Engineer (User Growth)
Builds
User growth engines, personalized messaging, recommendation systems, and intelligent marketing solutions for TikTok Mall.
Domain
E-Commerce, Recommendation Systems, User Growth (via careerplan.io/jobs/7694353236283935029-machine-learning-engineer-graduate-e-commerce-user-growth-2027-start-at-tiktok)
Deliverable
production ML models
Required skills
C++, Python, Big Data tools (Hive SQL/Spark/MapReduce), Deep Learning (TensorFlow/PyTorch), algorithms and data structures
Preferred skills
LTV estimation, uplift modelling, operations research, sequence modelling, multi-scenario modelling optimization
Technologies
Hive, Spark, TensorFlow, PyTorch
Responsibilities
Optimize user value modelling, personalized messaging, and recommendations; Establish user lifecycle data and value systems; Implement solutions for personalized push notifications and recommendation handling; Optimize recall/sorting algorithms for new user recommendations; Improve intelligent marketing algorithms using uplift models and operations research.
