Lead Backend Engineer, TikTok-BRIC-ML Foundation

Job Description The TikTok-BRIC-ML Foundation team builds scalable ML and AI platforms that form the backbone of TikTok's risk control intelligence. It powers everything from model training and deployment to A/B testing and real-time inference. Our scope extends to cutting-edge AI infrastructure and LLM applications -- including AI agents, LLM inference services, and monitoring systems—that enable safer, smarter, and more trustworthy user experiences across the platform.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives. You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system:

• Work on infrastructure and tools to enable construction, deployment, and serving of risk defence algorithms 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. Responsibilities
• Lead and be responsible for the technical direction of ML Foundation and continue to innovate.
• Build and maintain modeling infrastructures, LLM applications & platform 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.