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Machine Learning Engineer, e-Commerce
Machine Learning Engineer, e-Commerce
The Machine Learning Engineer will be responsible for designing and applying machine learning algorithms and recommendation strategies to enhance user experience on e-commerce content within TikTok. This role involves understanding the e-commerce ecosystem, collaborating with product and operations teams, and building scalable recommendation systems.
About the role
About the Role
Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.
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
- Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience.
- Solid experience with data structures and algorithms.
- Software development experience through hands on coding in a general purpose programming language.
- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas.
- Strong communication and teamwork skills.
- Passion about technologies and solving challenging problems.
Skills
Machine LearningRecommendation SystemsData MiningData StructuresAlgorithmsSoftware Development