Machine Learning Engineer Intern - Global E-commerce Risk Control - PhD

Machine Learning Engineer Intern – Global E-commerce Risk Control – PhD

Currently pursuing a PhD in Computer Science Engineering, Operations Research, or related fields.
Able to commit to working for 12 weeks during Summer 2025
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
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

Develop and implement innovative machine learning algorithms to manage business risks in Bytedance ‘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.

Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship.
Demonstrated software engineering experience from previous internship, work experience, 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 capabilities