Responsibilities
- Build machine learning models to respond to and mitigate risks in global payment products.
- Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
- Reduce modeling and operational workload associated with risk mitigation and new product or risk ramp-ups.
- Advance machine learning expertise in privacy, compliance, interoperability, risk perception, and risk analysis.
Requirements
- Bachelor’s degree or above in Computer Science, Statistics, Mathematics, or a related major.
- Proficiency in Python, Java, or Scala and big data tools such as SQL, Hive, or Spark.
- Experience with machine learning and deep learning models.
- Five or more years of machine learning experience preferred.
- Experience in trust and safety, risk management, fraud, or anti-fraud preferred.
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.