Machine Learning Engineer - User Growth & Intelligent Marketing in Global E-Commerce

About the Team

The E-commerce Recommendation and Marketing Algorithm team focuses on algorithm development and big data solutions to drive innovation in e-commerce. The team aims to make high-quality products easily discoverable to users, enhancing their shopping experience and quality of life. They utilize recommendation and search algorithms to tailor product discovery, deploy risk control and intelligent platform governance algorithms to maintain a safe shopping environment, develop intelligent customer service tools and extensive product knowledge graphs, and improve efficiency in logistics and operations research. The team also applies AI techniques to support merchants in optimizing their operations.

Key Responsibilities

• Drive optimization of global e-commerce growth and marketing algorithms including user value modeling, personalized messaging, recommendation systems, and intelligent marketing tools.
• Build and maintain user lifecycle data and value systems to solve key business challenges related to user growth on the platform.
• Design and implement user growth product and technical solutions such as personalized push notifications, emails, and recommendation processing to boost daily active users and platform penetration.
• Improve recall and sorting algorithms especially for new user recommendations to enhance relevance, accuracy, and diversity of traffic sources and recommendations.
• Refine intelligent marketing algorithms by leveraging uplift models and operations research techniques to increase marketing efficiency and drive gross merchandise value growth.

Minimum Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics, or allied technical fields.
• Proficiency in C++ and Python programming languages.
• Experience with at least one big data technology such as Hive SQL, Spark, or MapReduce.
• Familiarity with at least one deep learning framework like TensorFlow or PyTorch.
• Strong grasp of algorithms and data structures accompanied by excellent coding abilities.
• Excellent learning aptitude, curiosity-driven mindset, and effective communication and collaboration skills.
• A minimum of three years’ experience in fields related to user growth or intelligent marketing.

Preferred Qualifications

• Published research in top AI conferences or journals, or distinguished accomplishments in ACM or machine learning competitions.
• Expertise in recommendation systems, advertising, user growth techniques, intelligent marketing, or related domains.
• Experience with lifetime value (LTV) estimation, uplift modeling, operations research, sequence modeling, or optimization across multiple scenarios.

About ByteDance

Establishing in 2012, ByteDance strives to inspire creativity and enrich lives globally. Its broad portfolio includes products such as TikTok, Lemon8, CapCut, and Pico, alongside China-focused platforms like Toutiao, Douyin, and Xigua. ByteDance aims to empower authentic self-expression, discovery, and connection through innovative technologies supported by diverse international teams.

Why Work With Us

ByteDance values creativity and innovation. Its culture embraces curiosity, humility, and impact-driven work. The company encourages an "Always Day 1" mindset fostering continual growth and meaningful contributions for employees, the company, and its users.

Diversity and Inclusion

ByteDance is committed to an inclusive workplace where diverse skills, experiences, and perspectives are respected. The company celebrates global voices and strives to build a community that reflects the wide range of people it serves, encouraging passion for diversity among its teams.