About The Team The AI/LLM Data Application team at TikTok focuses on developing large-scale distributed systems to support low latency and high‑quality end‑to‑end live‑streaming, video‑on‑Demand, and hyper‑edge CDN experience on a global scale. Responsibilities Construct and decompose indicators for special projects focusing on business bills, cost, and quality governance. Provide quantitative analysis in areas such as architecture, strategy, and resource capacity. Be responsible for the research and application work in big data AI scenarios, applying LLM models to scenarios such as knowledge Q&A and data analysis by combining data analysis experience, and optimizing the effects. Minimum Qualifications Undergraduate or Postgraduate pursuing a Bachelor/Masters Degree in Data Science, Machine Learning, AI, Software Development, Computer Science, Computer Engineering, or a closely related technical field. Familiar with large language model (LLM) related technologies. Expected to work on‑site at the Sydney office for a minimum of three days per week during the internship, which runs for at least 3 months and may be extended based on performance and mutual agreement. Familiarity with statistics, linear algebra, probability theory, and common data structures. Familiarity with the theoretical foundation of data science, such as statistics and causal inference, as well as their application scenarios. Familiarity with SQL and the use of relational and analytical databases. Preferred Qualifications Hands‑on experience of AI technology to empower data analytics and data mining. Knowledge of network protocols including IPv4/IPv6, TCP/IP, DHCP, BGP, OSPF/IS‑IS. Knowledge and hands‑on experience of public cloud services such as AWS, GCP, Azure, Ali Cloud, and OCI. Hands‑on experience of network devices such as Cisco, Arista, Juniper, H3C, Huawei, and other mainstream vendors. Programming and scripting in Bash, Python, or other languages. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed at For any questions, please reach out to #J-18808-Ljbffr