Machine Learning Engineer, LIVE Recommendation - Singapore
- Singapore
- Mid Level
- 2+ years
- Bachelor's degree
- Posted
Skills
Required
- machine learning
- data structures / algorithms
- Software development
- recommendation systems
- data mining
Preferred
- machine
- ML
- content security strategy
About TikTok
TikTok LIVE ecosystem team is dedicated to creating a pleasant ecosystem environment for all users and creators, pursuing the mission of LIVE 'to inspire interactive creations. Here, you can explore cutting-edge recommendation system technology, revamp the algorithm for ecosystem and business goals across the entire system, and collaborate with the most creative, imaginative, and mission-driven colleagues to continuously drive the evolution of the LIVE ecosystem.
Responsibilities
- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
- Understand product objectives and machine learning techniques; improve model and recommendation strategy;
- Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
- Understand content security strategy and apply ML algorithms to improve content audit process;
- Work with cross functional teams to grow ByteDance product in important regional markets.
Requirements
- 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 or 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.