Singpore Machine Learning Engineer - Search and Recommendation TikTok E-Commerce

About TikTok
TikTok is the leading platform for short-form mobile videos, dedicated to inspiring creativity and bringing joy to over 1 billion users worldwide. With global headquarters in Los Angeles and Singapore, and offices in cities like New York, London, and Tokyo, we prioritize innovation and collaboration.

Why Join Us?
Creation is at the heart of TikTok's mission. We aim to inspire creativity and foster a collaborative environment where every challenge is an opportunity to learn and grow. Join us to make an impact for yourself, our company, and the communities we serve.

About the Team
The Search Growth E-Commerce Team is at the forefront of developing the search and recommendation algorithms for TikTok's expanding global e-commerce platform. By leveraging cutting-edge machine learning technologies, advanced NLP, Computer Vision, and multimodal solutions, we aim to create an exceptional e-commerce search experience for TikTok’s active user base.

Responsibilities:

• Enhance search recommendation services and models for TikTok E-Commerce, driving increased search traffic on both TikTok and TikTok Mall while improving user search and purchasing experiences.
• Optimize the recommender system, focusing on hyperscale machine learning models, covering tasks from recall/first-stage ranking to final-stage ranking in the end-to-end workflow.
• Innovate in short text and general recommendation technology, emphasizing the integration of recommendation and NLP technologies.

Qualifications:
Minimum Qualifications:

• Bachelor’s or advanced degree in computer science or a related technical field.
• Strong coding skills and a solid foundation in data structures and algorithms.
• Excellent analytical, modeling, and problem-solving abilities, with the capacity to distill complex data into actionable insights.
• Publication records in top journals or conferences are a plus; experience with ACM-ICPC is also advantageous.

Preferred Qualifications:

• 3+ years of experience in machine learning.
• Strong product sense with a focus on user experience.
• Domain knowledge or experience in modern recommendation systems, search technologies, advertising, or e-commerce.

Diversity & Inclusion:
TikTok is committed to creating an inclusive environment where every employee’s skills and unique perspectives are valued. We celebrate diversity and strive to reflect the communities we serve.