Machine Learning Engineer - Search Recommendation, E-commerce Search Growth

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."

Responsibilities: What You'll Do:- 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.

Minimum Qualifications: 3+ years of work experience in machine learning. Good product sense with a focus on user experience and E-commerce business.- Bachelor or advanced degree in computer science or a related technical discipline. Preferred

Qualifications: 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.

Req ID: A197951