The role
From TikTok's own posting.
The Actor Integrity Foundation team builds the core platform that supports TikTok’s efforts to protect the balance and integrity of its business ecosystem. We focus on enabling trustworthy interactions among advertisers, creators, and the platform by developing scalable, intelligent, and reliable ads delivery systems. Our work powers critical functions in ads integrity and platform risk control, with a strong emphasis on automation, transparency, and explainability. We build foundational engineering platforms and collaborate closely with machine learning teams to deliver AI/ML infrastructure that drives accurate, data-informed decisions across TikTok’s global business surfaces.
We’re looking for sophisticated software engineers who are excited about solving complex infrastructure problems, scaling machine learning workflows, and contributing to a safer and more trustworthy platform for everyone involved in our global business ecosystem.
Responsibilities
As part of the team, you will:
- 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
Minimum Qualifications:
- BS or MS degree in Computer Science, Engineering, or related technical field
- 2+ years of experience in software development (backend services) or infrastructure engineering
- 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
- Ability to think critically, solve complex problems, and communicate effectively across teams
Preferred Qualifications:
- 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)
- Passion for business integrity under complex recommender system/search/ranking or other relevant monetization scenarios, and building infrastructure that drives real-world impact at scale