TikTok's international e-commerce business is looking to solve the problem of intelligent marketing and user growth across multiple global regions, including the US, Europe, Latin America, and Southeast Asia, and is accountable for both e-commerce scale and user base growth.
Requirements
- Solid foundation in algorithms and data structures, with strong programming skills.
- Solid foundation in machine learning algorithms, familiar with one or more of the following: machine learning, deep learning, causal inference, reinforcement learning.
- Publications in top AI conferences/journals, or strong performance in ACM / machine learning competitions.
- Research or project experience in user growth, intelligent marketing, or advertising; experience in LTV prediction, uplift modeling, operations research, sequence modeling, or multi-scenario modeling optimization.
Responsibilities
- Build a full lifecycle user data and value system to address core pain points and business challenges in e-commerce user growth.
- Participate in developing an industry-leading online marketing inference algorithm engine that integrates signals from search, recommendation, and marketing, moving from isolated decision-making in each domain to joint decision-making across domains.
- Optimize international e-commerce user growth and intelligent marketing by improving the cost-effectiveness of key budget spending through algorithms — including subsidy distribution, product pricing, budget allocation, and traffic strategies — to enhance subsidy and traffic efficiency, ultimately driving GMV growth.
Other
- Bachelor's degree or above, graduating in 2026, preferably in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Operations Research, or related fields with 0-1 year of work experience
- Strong learning ability, curiosity, communication, and teamwork skills.
- Commit to an onboarding date by end of year 2026.
- State availability and graduation date clearly in resume.
- Apply to a maximum of two positions
