Graduate Algorithm Engineer

Job Description

Graduate Algorithm Engineer | ByteDance

The Tone:
This is a graduate position at ByteDance, focusing on the E-commerce Recommendation and Marketing Team. The team is dedicated to intelligent marketing and user growth for TikTok’s international e-commerce business across global regions including the US, Europe, Latin America, and Southeast Asia. The role contributes directly to both e-commerce scale and user base expansion, making it a critical part of ByteDance’s mission to inspire creativity and enrich life through its suite of products including TikTok, Lemon8, and CapCut. This position offers unparalleled opportunities for 2026 graduates to kickstart a career, pursue bold ideas, and explore limitless growth by applying advanced algorithms and machine learning to drive significant business impact.

The TL;DR
• Role: Early Career
• Pay: $100320–$177840 yearly
• Team: E-commerce Recommendation and Marketing Team, responsible for intelligent marketing and user growth for TikTok’s international e-commerce business.
• Mission: Drive e-commerce scale and user base growth across multiple global regions by applying advanced algorithms and machine learning.

What You’ll Actually Do
• System Development: Build a full lifecycle user data and value system specifically designed to address core pain points and business challenges related to e-commerce user growth.
• Algorithm Engine Development: Participate in developing an industry-leading online marketing inference algorithm engine by integrating signals from search, recommendation, and marketing, transitioning from isolated to joint decision-making across domains.
• Cost-Effectiveness Optimization: Optimize international e-commerce user growth and intelligent marketing through algorithmic improvements that enhance the cost-effectiveness of key budget spending.
• Growth Strategy Implementation: Implement algorithms for subsidy distribution, product pricing, budget allocation, and traffic strategies to enhance subsidy and traffic efficiency, ultimately driving GMV growth.

The Must-Haves
• Background: This is a graduate position for individuals graduating in 2026, requiring a Bachelor’s degree or higher, preferably in fields such as Artificial Intelligence, Machine Learning, Computer Science, Mathematics, or Operations Research.
• Experience: Candidates should have 0-1 year of professional work experience and possess a solid foundation in machine learning algorithms, specifically familiar with one or more of machine learning, deep learning, causal inference, or reinforcement learning.
• Skills: Strong programming skills are essential, alongside a solid foundation in algorithms and data structures. Additionally, candidates must demonstrate strong learning ability, curiosity, communication, and teamwork skills.
• Bonus: Preferred qualifications include 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, covering areas such as LTV prediction, uplift modeling, operations research, sequence modeling, or multi-scenario modeling optimization, is also a plus.