Staff Machine Learning Engineer, TikTok BRIC Community Health

The Business Risk Integrated Control (BRIC) team is missioned to: - Protect TikTok users, including and beyond content consumers, creators, advertisers and other participants across the ecosystem; - Safeguard platform health and community experience authenticity; - Build scalable infrastructure, platforms, and technologies while collaborating closely with cross-functional teams and stakeholders.

The BRIC team works to minimize the impact of inauthentic and abusive behaviors across TikTok products and platforms. Our scope covers a broad range of community and business risk areas, including account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security, and financial safety across advertising and e-commerce.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles - You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.

Responsibilities: - 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. - Advance machine learning capabilities in areas such as risk perception and analysis, model interpretability, privacy and compliance, and adversarial robustness.