ByteDance
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2027 Start (PhD)
Seattle, Washington · 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 in Computer Science, Computer Engineering, or a related discipline.
About the job
Develop machine learning algorithms and data infrastructure to identify and mitigate risks across TikTok’s products and platforms, including emerging risks from AI-generated content.
What you'll do
- Develop and test machine learning solutions for business risk control, sharing findings with Product and Tech teams.
- Build data-querying infrastructure for real-time and offline analysis; define risk metrics and identify opportunities to improve defenses.
- Collaborate across teams, improve automation processes, and document and communicate technical work.
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 strong problem-solving ability.
Nice to have
- Software engineering experience through an internship, coding competition, or publication.
- Internship or research experience, especially in e-commerce or risk control.
Tools
Python, SQL/Hive, Hadoop
AI focus
Develop risk intelligence systems for challenges involving large-scale AI-generated content, exploring tool-augmented reasoning, modular multi-agent architectures, traceability, feedback-driven evolution, and cross-domain risk reasoning.
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