ByteDance is Hiring for Machine Learning Graduate (eCommerce User Growth & Intelligent Marketing)

ByteDance: Machine Learning Graduate (Ecommerce User Growth & Intelligent Marketing) — 2026 Start (PhD)

ByteDance is hiring a PhD-level Machine Learning Graduate to help drive user growth and intelligent marketing for TikTok’s international ecommerce business. This role is ideal for emerging researchers who want to apply advanced ML to real-world growth, pricing, and budget optimization at global scale.

Company Overview

Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With products including TikTok, Lemon8, CapCut, and Pico—as well as platforms for the China market—ByteDance connects people with content and communities worldwide. Learn more on Indeed.

Role Summary

Title: Machine Learning Graduate (Ecommerce User Growth & Intelligent Marketing)
Location: Seattle, WA
Team: Technology — E-commerce Recommendation and Marketing
Employment Type: Regular; Job Code: A80852
Start Timeline: Onboard by end of 2026; applications reviewed on a rolling basis

Key Responsibilities

Build end-to-end user data and value systems to solve core ecommerce growth challenges across the user lifecycle.
Develop an online marketing inference engine that integrates signals from search, recommendation, and marketing for joint decision-making.
Improve cost-effectiveness of subsidies, pricing, budget allocation, and traffic strategies using algorithms to drive GMV growth internationally.

Ideal Profile

Minimum qualifications:

PhD (graduating in 2026) in AI, ML, CS, Mathematics, Operations Research, or related fields; 0–1 year experience.
Strong algorithms and data structures foundation; solid programming skills.
Proven learning agility, curiosity, communication, and teamwork.
Knowledge of ML methods such as deep learning, causal inference, and reinforcement learning.

Preferred qualifications:

Publications in top AI venues or strong results in ACM/ML competitions.
Experience in user growth, intelligent marketing, or ads; exposure to LTV prediction, uplift modeling, OR, sequence modeling, or multi-scenario optimization.

Compensation, Benefits, And Location

Base salary range (Seattle): $129,960–$246,240 annually. Actual pay depends on skills, experience, competencies, and location; role may be eligible for discretionary bonuses/incentives and restricted stock units.

Benefits (may vary by employment nature and location): medical, dental, vision (day one), 401(k) with match, parental leave, disability, life insurance, wellbeing programs.
Time off: 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated; accruals increase with tenure).

ByteDance may modify benefits programs at any time. The company is committed to diversity, inclusion, and fair consideration of qualified applicants.

How To Apply

Submit your application via the ByteDance careers site and clearly state your availability and 2026 graduation date. Applications are reviewed on a rolling basis; early submission is encouraged. Apply here: joinbytedance.com. For reasonable accommodation requests, visit this form.

Conclusion And Next Steps

If you’re pursuing a 2026 PhD finish and want to apply ML to high-impact ecommerce growth problems, this role offers a focused path to build systems and models that operate at global scale. Review the details, confirm your timeline, and submit your application when ready.

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