The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are are leveraging strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: • Create innovative monetization products that drive engagement and business outcomes. • Develop highly scalable services that powers new ad products for billions of requests. Design systems that will optimize monetization efficiency with product engineering and state-of-the-art machine learning technologies. • Implement new ad solutions that will continuously protect the user experiences on TikTok. • Collaborate with strategy team, product managers, and other key stakeholders to define products and drive initiatives from engineering perspective. • Contribute to the success of a rapidly growing and evolving organization with speediness and quality.

Minimum Qualifications: - BS/MS Degree in Computer Science, Computer Engineering or relevant technical field. - Strong knowledge of data structures and algorithms, proficient in at least one coding language, including but not limited to Go, Javascript, Java, C++. - Excellent communication, teamwork skills and ability to work under pressure. Strong ownership. - Curiosity towards new technologies and solutions, and outstanding ability to analyze and solve problems. Preferred Qualifications: - Working or internship experience in the ads domain. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https:///legal/privacy