TikTok is looking to build up and optimize the infrastructure for its recommendation system to provide the most stable and best experience for its users, supporting rapid iteration and growth of TikTok products.
Requirements
- 5+ years of engineering experience in building large-scale distributed systems with 1+ years of engineering technical leadership experience;
- Excellent programming, troubleshooting, and optimization skills in one or more general purpose programming languages including but not limited to: C/C++, Java, Python.
- Experienced in at least one area of the following areas: personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage systems, big data frameworks;
Responsibilities
- Grow and lead a team of engineers committed to creating innovative distributed systems to empower large-scale recommendation and machine learning systems;
- Build extremely efficient, scalable and reliable online systems and data pipelines, optimize and evolve the system continuously so as to support the skyrocket increase in both user traffic as well as the data amount;
- Work with cross functional teams and key stakeholders to define roadmap, drive initiatives and deliver end-to-end infrastructure solutions to address critical product challenges and improve recommendation performance;
- Support TikTok recommendation global development and operation with reliable and scalable infrastructure.
Other
- Ability to think critically and to formulate solutions to problems in a clear and concise way;
- Effective communication skills and a sense of ownership and drive.
- Bachelor's degree or above, majoring in Computer Science, or related fields;
