ByteDance
Machine Learning Engineer (User Growth & Intelligent Marketing) - Global e-Commerce
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Experience
- At least 3 years of relevant experience in user growth or intelligent marketing.
- Education
- Bachelor’s degree or higher in Computer Science, Computer Engineering, Mathematics, or a related technical discipline.
About the job
Develops and optimizes e-commerce user growth, recommendation, and intelligent marketing algorithms to improve user engagement and marketing efficiency.
What you'll do
- Build user lifecycle data and value systems and contribute to growth-engine solutions such as personalized notifications and recommendations.
- Optimize new-user recommendation recall and ranking for relevance, accuracy, and diversity.
- Apply uplift models and operations research methods to improve marketing efficiency and e-commerce GMV growth.
What they ask for
- Bachelor’s degree or higher in Computer Science, Computer Engineering, Mathematics, or a related technical discipline.
- Experience with C++ and Python, at least one Big Data tool, and at least one deep-learning tool.
- Strong foundation in algorithms and data structures, with excellent coding skills.
- At least 3 years of relevant experience in user growth or intelligent marketing.
Nice to have
- Published papers in top AI conferences or journals, or notable results in ACM or Machine Learning competitions.
- Experience in recommendation systems, advertising, user growth, or intelligent marketing; expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization.
Tools
C++, Python, Hive sql, Spark, Mapreduce, Tensorflow, Pytorch
AI focus
Applies machine learning to user growth, personalized recommendations and marketing, including user value modelling, uplift models, and recommendation algorithms.
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