About the team:
On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
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
