Build and optimize high-performance recommendation infrastructure and large-scale data pipelines for
岗位职责
About The Team:
The Recommendation Architecture - Social Team is responsible for building and optimizing the architecture of our recommendation system to provide the best social experience for our TikTok users.
Responsibilities:
• Build and maintain high performance online services for TikTok recommendation system；
• Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
• Design and develop high performance computing frameworks and storage systems.
申请条件
Minimum Qualifications:
• Bachelor's degree or above, majoring in Computer Science, or related fields
• At least 2 years of experience building scalable system
• Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
• Effective communication skills and a sense of ownership and drive;
• Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
雇主简介
TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.