Machine Learning Engineer, Search Recommendation; E-commerce

Responsibilities

About the team The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for Tik Tok'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 Tik Tok users worldwide.

• Elevate search recommendation services and models for Tik Tok E-commerce, driving heightened e-commerce search traffic on both Tik Tok and Tik Tok 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

• 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.

Preferred Qualifications

• 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.
• Publication records in top journals or conferences will be a plus.

Experience winning ACM-ICPC medals will be a plus.