Machine Learning Engineer (User Growth & Intelligent Marketing) – Global e-Commerce

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Machine Learning Engineer (User Growth & Intelligent Marketing) – Global e-Commerce

Company Overview:
This company is the leading destination for short-form mobile video. Its mission is to inspire creativity and bring joy. With offices in key locations across the globe, the company works towards transforming digital content creation and consumption, providing a platform that helps users discover and acquire great products. Their e-commerce recommendation and marketing algorithm team focuses on improving user experience, driving e-commerce growth, and enhancing operational capabilities for merchants.

Job Description:
As a Machine Learning Engineer, you will be part of a team responsible for optimizing e-commerce growth and marketing algorithms. This includes user value modeling, personalized messaging, recommendations, and intelligent marketing. You will work on improving e-commerce user growth and driving marketing efficiency through algorithm development and optimization.

Responsibilities:

• Optimize algorithms for e-commerce growth and marketing, including core capabilities such as user value modeling, personalized messaging, recommendations, and intelligent marketing.
• Establish a user lifecycle data and value system to address core pain points and business challenges related to e-commerce user growth.
• Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails and recommendation handling.
• Optimize algorithms for new user recommendations, improving relevance and accuracy in traffic source handling.
• Optimize intelligent marketing algorithms using uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications:

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science, Computer Engineering, Mathematics, or a related technical discipline.
• Experience in C++ and Python; at least one of the Big Data tools (e.g., Hive SQL/Spark/MapReduce); at least one of the Deep Learning tools (e.g., TensorFlow/PyTorch).
• Strong foundation in algorithms and data structures with excellent coding skills.
• Strong learning ability, curiosity, and good communication and teamwork skills.
• At least 3 years of relevant experience in user growth or intelligent marketing.

Preferred Qualifications

• Published papers in top AI conferences/journals or notable achievements in ACM/Machine Learning competitions.
• Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modeling, operations research, sequence modeling, or multi-scenario modeling optimization.

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