TikTok is looking to solve complex infrastructure problems, scale machine learning workflows, and contribute to a safer and more trustworthy platform for everyone involved in its global business ecosystem by building the core platform that supports its efforts to protect the balance and integrity of its business ecosystem.
Requirements
- Strong coding skills in one or more languages (e.g., Go, Python, C++, Java)
- Solid understanding of distributed systems, backend architectures, and data processing frameworks
- Experience in risk control, ads integrity, abuse detection, or fraud prevention systems
- Familiarity with ML workflows, feature engineering, or LLM-powered moderation tools
- Knowledge of streaming and batch data processing (e.g., Kafka, Flink, Spark)
Responsibilities
- Lead the team to design and implement backend services/infra of Actor Risk Control Platform for abuse detection, enforcement, and transparency
- Build real-time and offline data pipelines and feature platforms to support ML and Rule based risk control
- Develop platforms that enable human-in-the-loop investigation and enforcement
- Collaborate closely with machine learning engineers, product managers, and operations teams to build AI-powered Actor Moderation System with agentic decision-making powered by LLM
- Contribute to the technical roadmap and help evolve TikTok’s risk control ecosystem
- Operate in a fast-paced, collaborative, and globally distributed environment
Other
- BS or MS degree in Computer Science, Engineering, or related technical field
- 5+ years of experience in software development (backend services) or infrastructure engineering
- Ability to think critically, solve complex problems, and communicate effectively across teams
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws
