Machine Learning Engineer

• Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
• Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
• Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
• Provide guidance and mentorship to fellow teammates. Minimum Qualifications

• 5+ years of work experience in machine learning. Good product sense with a focus on user experience and E-commerce business.
• Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills. Solid knowledge of data structure and algorithms.
• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Skills: Algorithms, Analysis Skills, Computer Programming, Computer Science, Data Structures, Machine Learning, Mentoring, Natural Language Processing (NLP), People Management, Problem Solving Skills, Purchasing/Procurement, Sales, Search Algorithms, Website Traffic, eCommerce

About the Team: The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok s rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we re shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where “there are no hard-to-sell, overpriced products.”