Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2027 Start (PhD)
ByteDanceResponsibilities
- Develop domain-specific machine learning, LLM, and agent systems to detect and prevent complex fraud.
- Analyze large-scale business and security data to identify abnormal user behavior and evolving risk patterns.
- Productionize AI agent pipelines for real-time fraud prevention under massive global traffic.
- Analyze and test the effectiveness of developed solutions.
- Collaborate cross-functionally to mitigate business risks.
- Develop, deploy, and monitor models using relevant software platforms.
Requirements
- Be completing or have recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Have good coding skills in one or more programming languages.
- Have knowledge of machine learning, LLMs, or agentic systems.
- Preferred hands-on experience with PyTorch, scikit-learn, LangChain, or Hugging Face Transformers.
- Demonstrate critical and rational thinking and communicate in a result-oriented, data-driven manner.
Tech Stack
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.