ByteDance
Machine Learning Engineer Intern (E-Commerce Risk Control)- 2027 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.
About the job
Develop machine learning and data infrastructure for e-commerce risk control, testing solutions and working with teams to strengthen risk defenses.
What you'll do
- Develop and experiment with machine learning algorithms and risk-control solutions.
- Build data-querying infrastructure for real-time and offline analysis, and define risk-control metrics.
- Collaborate with product and technical teams; document and communicate results.
What they ask for
- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related discipline.
- Proficiency in 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 problem-solving ability.
Nice to have
- Software engineering experience through an internship, work experience, coding competitions, or publications.
- Internship or research experience, especially in e-commerce or risk control.
Tools
Python, SQL/Hive, Hadoop
AI focus
Develop machine learning algorithms and explore AI-native risk intelligence using structured multi-agent architecture, tool-augmented reasoning, modular skills, traceability, feedback-driven evolution, and cross-domain risk reasoning.
Model-written summary · the original posting is authoritative