Machine Learning Graduate (eCommerce User Growth & Intelligent Marketing) - 2026 Start (BS/MS)

ByteDance-posted 13 days ago
Full-time • Entry Level
Seattle, WA
5,001-10,000 employees
Publishing Industries
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Our E-commerce Recommendation and Marketing Team is responsible for intelligent marketing and user growth for TikTok's international e-commerce business 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. We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance 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. Applications will be reviewed on a rolling basis - we encourage you to apply early. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

  • 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.
  • 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
  • Solid foundation in algorithms and data structures, with strong programming skills.
  • Strong learning ability, curiosity, communication, and teamwork 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.
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