Machine Learning Engineer - Search Recommendation (E-commerce) (ByteDance Singapore)

About the team The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for 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 users worldwide. Responsibilities - Elevate search recommendation services and models for E-commerce, driving heightened e-commerce search traffic, 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 - 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. - Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus. Preferred Qualifications - 3+ years of machine learning experience - Good product sense with a focus on user experience. - Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.