Protecting TikTok, CapCut, and more from sophisticated, adversarial threats by stopping spam, shutting down fraud, preventing account takeovers, and ensuring genuine interactions on the platform.
Requirements
- Solid engineering skills. Familiar with at least two: Linux, Hadoop, Hive, Spark, Storm.
- Strong machine learning background.
- Proficiency or 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.
Responsibilities
- Tackle Real-World Adversarial Problems: You'll work on detecting fake engagement, API abuse, and financial fraud.
- Build Models at Massive Scale: Your work will involve analyzing billions of data points to find and stop bad actors.
- Push the Boundaries of AI: You'll have the chance to work with state-of-the-art techniques like Graph Neural Networks (GNNs), Transformers, and LLMs to model complex user behavior.
- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- 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
- Final year or recent graduate with a background in Computer Science, Statistics, or other relevant, machine-learning-heavy majors.
- Ability to think critically, objectively, rationally.
- Reason and communicate in result-oriented, data-driven manner.
- High autonomy.
- Curiosity towards new technologies and entrepreneurship
- High levels of creativity and quick problem-solving capabilities
- Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
