Minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety.
Requirements
- Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
- Strong machine learning background.
- Publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
- Ability to think critically, objectively, rationally.
- Reason and communicate in result-oriented, data-driven manner.
Responsibilities
- Build machine learning solutions to respond to and mitigate business risks in products/platforms.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.
Other
- Hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department.
- High autonomy.
- This role requires the ability to work with and support systems designed to protect sensitive data and information.
- As such, this role will be subject to strict national security-related screening.
