Machine Learning Engineer Intern (E-Commerce Risk Control)- 2027 Start (PhD)

About the role

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

This internship blends hands-on learning, community-building, professional development, and collaboration with industry experts.

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.

Requirements

Minimum Qualifications:

• Currently pursuing a PhD in Software Development, 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 internships, work experience, coding competitions, or publications.
• Internship or research experience, especially in e-commerce or risk control domains.
• Curiosity toward new technologies and entrepreneurship.
• High levels of creativity and quick problem-solving capabilities.

Pay

The hourly rate for this position is $60.

Benefits

• Day-one access to health insurance, life insurance, and wellbeing benefits.
• 10 paid holidays per year.
• Paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half).
• Eligibility for housing allowance (for interns not working 100% remote).

Note: Benefits may vary depending on employment nature and country work location. The company reserves the right to modify or change these benefits programs at any time, with or without notice.