Responsibilities: Our team is building the next generation of AI-native risk intelligence systems to address emerging challenges driven by large-scale AIGC content production. As content creation becomes automated and adversaries adopt systematic experimentation (e.g., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient. We are transitioning from monolithic LLM applications to a structured multi-agent architecture that emphasizes: - Tool-augmented reasoning (ReAct-style systems) - Modular skill composition - Execution traceability and observability - Feedback-driven system evolution - Cross-domain risk reasoning 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. Responsibilities: - Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms. - Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. - Collaborate with multidisciplinary teams to enhance current automation processes. - Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions. - Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control. - Document technical processes and effectively communicate results through writing, visualizations, and presentations. Qualification Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in Computer Science, Computer Engineering or a related discipline. - Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. - Experience with Python, SQL/Hive, and Hadoop - Strong understanding of data structures and algorithms, with excellent problem-solving ability - Detail oriented, effective time management, and strong analytical skills Preferred Qualifications: - Demonstrated software engineering experience from previous internship, coding competitions, or publications - Internship experience or research experience, especially in e-commerce, risk control domain - Curiosity towards new technologies and entrepreneurship - High levels of creativity and quick problem-solving capabilitie Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $153900 - $300960 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.