The E-commerce Recommendation and Marketing Team at ByteDance is responsible for intelligent marketing and user growth for TikTok's international e-commerce business. The team aims to solve core pain points and business challenges in e-commerce user growth by building a full lifecycle user data and value system and optimizing international e-commerce user growth and intelligent marketing.
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.
- Successful candidates must be able to commit to an onboarding date by end of year 2026.
- Please state your availability and graduation date clearly in your resume.
- Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
