Machine Learning Graduate; eCommerce User Growth & Marketing PhD

Location:

Seattle

Team:
Technology

Employment Type:

Regular

Job Code: A80852

Team Introduction:
Our E-commerce Recommendation and Marketing Team is responsible for intelligent marketing and user growth for Tik Tok’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 Byte Dance. 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.

• 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.

• PhD 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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

The base salary range for this position in the selected city is $129,960 - $246,240 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid…