Machine Learning Engineer Intern (Payment Data Intelligence) - 2027 Summer

San Jose Intern R&D Future Talent 2027 - Internship Program Job ID: A250556 Responsibilities About the team The USDS Payment team at TikTok builds the core payment capabilities supporting a smooth, secure, and reliable payment experience across the platform — spanning payment acquisition, disbursement, transaction monitoring, payment method management, FX conversion, accounting, and reconciliation. Within this org, the Payment Data Intelligence team applies data science and machine learning to improve payment services at scale. The team leverages large-scale datasets and advanced algorithms to power business-critical use cases including financial risk control, payment compliance, user growth, and operational optimization — at the intersection of ML, data infrastructure, and real-world fintech challenges. This internship focuses on building agent-first AI applications for payment scenarios. The role is designed for candidates who want to apply the latest AI paradigms, including LLM-based agents, workflow orchestration, prompt engineering, MCP-based tool integration, and AI application evaluation, to solve practical payment business problems. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities: - Work with product, strategy, engineering teams to design, develop, and deploy ML solutions for payment-related business problems - Translate busine