Responsibilities
- Build rules, algorithms, and machine learning models to detect and mitigate business and security risks across e-commerce products and platforms.
- Analyze business and security data to identify evolving attack patterns, weaknesses, and opportunities in risk-defense solutions.
- Define risk-control measurements, quantify and monitor operational metrics, and promote data-driven risk-control practices.
- Support scalable and optimized AI and machine learning models in production.
- Build algorithms for extracting, transforming, and loading large volumes of real-time, unstructured data for AI/ML solutions.
- Run experiments to evaluate deployed model performance and identify and resolve resulting bugs.
Requirements
- Bachelor’s degree or higher in computer science, statistics, mathematics, internet security, or another relevant STEM field.
- Solid hands-on data science skills and proficiency with SQL, R, and Python.
- Familiarity with machine learning or analytics for social and content online platforms is preferred.
- Proficiency in modern machine learning applications is preferred.
- Experience with LLM or agent technology is a plus.
- Ability to think critically, objectively, and rationally and communicate in a result-oriented, data-driven manner.
- High autonomy.
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.