Content Governance Engineer, Java / Go

atBinanceRemoteSG flagSingaporeFull-timeBackend EngineerMid-levelSenior

Posted Sep 4

This is a fully remote position, open to applicants in Singapore.

πŸ“‹ Description

β€’ Create, develop, and refine platforms for content governance, anti-abuse mechanisms, and tools for content operations.

β€’ Lead the integration of recommendation systems with content governance features, establishing efficient, stable, and scalable governance pipelines.

β€’ Work in collaboration with governance and product teams to implement capabilities for content review, risk detection, and policy enforcement systems.

β€’ Design and establish rules for content removal, engaging in ongoing adversarial defense, effectiveness assessments, and rule enhancement.

β€’ Develop and enhance content governance rule engines to improve configuration, phased rollouts, retrospective analyses, and operational management efficiency.

β€’ Provide comprehensive governance solutions addressing spam, traffic diversion, low-quality content, black/gray market activities, fraud, and subpar shilling.


⛳️ Requirements

β€’ Proficient in Java or Go, with strong engineering design and system development capabilities.

β€’ Familiarity with distributed systems, microservice architectures, message queues, caching mechanisms, and relational databases.

β€’ Knowledge of content governance workflows, encompassing content review, risk detection, policy enforcement, and effectiveness evaluation.

β€’ Experience with rule engines or policy platforms, capable of translating governance requirements into configurable and extensible system functionalities.

β€’ Understanding of prevalent issues in content platform ecosystems and governance strategies, coupled with risk awareness and adversarial thinking.

β€’ Strong communication skills across teams, enabling effective collaboration with product, operations, algorithm, and business units.

β€’ Previous experience with recommendation systems, recommendation engineering, or content distribution systems.

β€’ Background in content safety, anti-fraud measures, risk management, or adversarial defense against black/gray market activities.

β€’ Experience in building large-scale content governance platforms, rule engines, or policy operations systems.

β€’ Familiarity with the application of machine learning models to content review, risk detection, or recommendation governance.


🏝️ Benefits

β€’ Competitive salary and comprehensive company benefits.

β€’ Flexible work-from-home options (specific arrangements may vary based on the business team's work requirements).

β€’ Opportunities for professional growth and ongoing learning.

β€’ A flat organizational structure.

β€’ Autonomy in a creative work environment.

β€’ Commitment to being an equal opportunity employer.

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