Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2026 Start (PhD)
ByteDanceResponsibilities
- Develop machine learning solutions for identifying and preventing fraudulent activities.
- Analyze business and security data to detect abnormal user behavior and evolving risk patterns.
- Build scalable, real-time data pipelines for risk prevention.
- Analyze and test the effectiveness of developed solutions.
- Collaborate with cross-functional teams 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.
- Demonstrate good coding skills in one or more programming languages.
- Preferred: familiarity with machine learning frameworks such as scikit-learn, TensorFlow, and PyTorch.
- Preferred: ability to think critically and communicate in a result-oriented, data-driven manner.
Benefits
- Graduate opportunity with the E-Commerce Risk Control team and stated growth opportunities.
- Successful candidates must be able to commit to an onboarding date by the end of 2026 and should state availability and graduation date in their resume.
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.