Machine Learning Engineer, Search Recommendation

• Enhance search recommendation services and models for TikTok, driving increased search traffic on TikTok and TikTok Mall, while also improving user s search understanding.
• Optimize the recommender system based on hyperscale machine learning models, covering a range of tasks from recall/first-stage ranking to final-stage ranking in the end-to-end workflow.

Machine Learning, Machine Learning, eCommerce, Natural Language Processing (NLP), Sales, Search Algorithms, Website Traffic Growth, User Interface/Experience (UI/UX), Computer Science, Algorithms, * Explore the upper limits of short text recommendation and general recommendation technology, with a focus on the interaction between recommendation and NLP technology. Minimum Qualifications

• 3+ years of work experience in machine learning. Good product sense with a focus on user experience.
• 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.

About the Team: The Search Growth 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.”