Software Engineer Graduate (TikTok Recommendation Architecture) - 2027 Start
TikTok
- Location
- Singapore, Singapore, Singapore
- Employment
- Full Time
- Work model
- On-Site
- Level
- New Grad
- H-1B history
- 148 approvals (FY2023)
Skills
About this role
Team Introduction: Our Recommendation Architecture Team is responsible for building and optimizing the architecture of the recommendation system to provide the most stable and best experience for users. The team focuses on optimizing the recommendation system architecture, ensuring stability and high availability, and improving the performance of both online services and offline data flows. Collaborating with the algorithm team, we work to enhance recommendation effectiveness and user experience, boost system performance while reducing costs, build data and service mid-platforms, and realize flexible and scalable high-performance storage and computing systems. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities - Design and optimize recommendation system architectures to improve development efficiency, performance, scalability, and recommendation effectiveness across feeds and vertical content scenarios. - Build and optimize backend systems and services for data security, modularity, computational efficiency, and scalability. - Ensure production system stability through troubleshooting, mechanism design, and tooling development. - Build industry-leading distributed storage and computing systems to support massive data and large-scale business growth. - Drive content understanding architecture innovation, including LLM training/inference optimization and low-latency inference systems. - Collaborate with global teams to tackle architecture challenges and serve TikTok users worldwide.