hms and machine learning models at scale. Improve capacities of risk prevention, perception and remediation across various TikTok businesses.
- Build tools and automated procedures to support risk analytics and defence enforcement.
- Keep risk control solutions state-of-art in front of data security, modularisation, privacy and compliance. Help improve end-to-end risk service/platform/tooling SLA.
- Lead technical direction for cross-team initiatives and mentor engineers in best practices for risk infrastructure and tooling.
- Build and maintain modeling infrastructures, LLM applications to mitigate business risks in TikTok products/platforms, reduce modeling, operational, and system load on risk adversaries and new product/risk ramping-ups.
- Uplevel risk machine learning excellence in privacy/compliance, interpretability, risk perception and analysis.
Qualifications
Minimum Qualifications:
- Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Java, Python
- Ability to think critically and formulate solutions to problems in a clear and concise way
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Preferred Qualifications:
- Bachelor's or above degree in Computer Science, Computer Engineering or relevant majors.
- Experience in machine learning infrastructure that handles large traffic
- Experience in Risk related system (or known as Anti-abuse system, or Trust related domain), or large distributed systems.