Content Governance Engineer (Java / Go)

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. ### Responsibilities: - Design, develop, and iterate on content governance platforms, anti-abuse tooling, and content operations tools. - Drive the integration of recommendation systems with content governance capabilities, building efficient, stable, and scalable governance pipelines. - Collaborate with governance and product teams to deliver content review, risk detection, and policy enforcement system capabilities. - Design and implement content takedown rules, conducting ongoing adversarial defense, effectiveness evaluation, and rule optimization. - Build and optimize content governance rule engines, improving rule configuration, gradual rollout, retrospective analysis, and operations management efficiency. - Provide systematic governance solutions for spam, traffic diversion, low-quality content, black/gray-market activity, fraud, and low-quality shilling. ### Requirements: - Proficient in Java or Go, with solid engineering design and system development skills. - Familiar with distributed systems, microservice architecture, message queues, caching, and relational databases. - Understanding of content governance workflows, including content review, risk detection, policy enforcement, and effectiveness evaluation. - Familiar with rule engines or policy platforms, able to abstract governance requirements into configurable, extensible system capabilities. - Understanding of common content platform ecosystem issues and governance approaches, with risk awareness and adversarial thinking. - Strong cross-team communication skills, able to collaborate effectively with product, operations, algorithm, and business teams. ### Preferred qualifications: - Experience with recommendation systems, recommendation engineering, or content distribution systems. - Experience in content safety, anti-fraud, risk control, or black/gray-market adversarial defense. - Experience building large-scale content governance platforms, rule engines, or policy operations platforms. - Familiarity with applying machine learning models to content review, risk detection, or recommendation governance.