Machine Learning Engineer - Feed E-Commerce - Singapore

n massive product catalogs and global users.
We are committed to providing a personalized, proactive, and efficient consumption experience for users through live-stream e-commerce content by connecting them with exceptional sellers and high-quality products.
Our team is responsible for developing innovative recommendation algorithms and techniques to enhance user engagement and satisfaction, effectively transforming creative ideas into business-impacting solutions.

Responsibilities:

• Design and apply machine learning algorithm and recommendation strategies to improve users' experience on e-commerce content, including videos and livestreams.
• Understand ecosystem of e-commerce content and use algorithm and strategy to make it thrive.
• Work with product and ops team to deliver features that drives growth of e-commerce content on TikTok.
• Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning

Qualifications

Minimum Qualifications

1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience;
2. Solid experience with data structures and algorithms;
3. Software development experience through hands on coding in a general purpose programming language;
4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;
5. Strong communication and teamwork skills;
6. Passion about technologies and solving challenging problems.
   Preferred Qualification:
   Preferred to have more than 3 years experience in the recommendation algorithm domain.