ByteDance
Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- No specific number of years stated; candidates must be completing or have recently completed a PhD.
- Education
- PhD degree in Computer Science, Computer Engineering, or a related discipline.
About the job
Develop machine learning and data systems for TikTok’s e-commerce risk control, including experimentation, risk metrics, and automation improvements.
What you'll do
- Develop and test machine learning algorithms and solutions for business risks.
- Build data-querying infrastructure for real-time and offline analysis, and identify ways to strengthen risk defenses.
- Define risk control metrics, collaborate across teams, and communicate technical results.
What they ask for
- Completing or recently completed a PhD 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 problem-solving, analytical, time-management, and detail-oriented skills.
Nice to have
- Software engineering experience through internships, employment, 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, multi-agent risk intelligence systems for emerging risks from large-scale AIGC content production.
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