About this role
团队介绍：TikTok搜推算法团队，负责TikTok短视频产品的基础推荐、搜索算法，加入我们，你能接触到包括搜索、用户增长、社交、直播、内容创造、内容消费等业务场景，直接为核心用户体验负责，支持产品在全球赛道上高速发展。我们的工作内容包括大规模推荐算法的优化、复杂约束的优化问题的解决、多模态大模型的落地，并着力研究下一代AI Search和Chatbot的核心研发技术，包括不限于Multi-Agent、Agentic RL、Harness、Loop Engineering，探索强化学习在大模型时代的新范式。在这里，你可以深入钻研机器学习算法的改进和优化，探索前沿的技术；可以感受不同文化的碰撞，激发认知；可以通过对产品和内容生态的深度分析，影响产品未来的发展方向。
Governance and Experience is a global team aiming to build a safe and trustworthy platform for not only users, but also partners. We value user experience and work on policies, rules, products and systems to ensure quality. We are looking for passionate talents to join us, thus together we can build a commerce ecosystem that is innovative, secure and intuitive for our users.
To drive technological transformation, we are leveraging AI-powered governance capabilities to streamline our processes and reduce redundancies. This includes identifying key areas for automation, building highly accurate AI-Agents, collaborating with relevant cross-functional teams to deploy the agents, monitoring and continuously optimising the agents' performance. The role will focus on streamlining and standardizing operational workflows, reducing manual redundancies, and scaling efficiency by leveraging automation, LLMs, and AI agent frameworks. You will be expected to identify process gaps, design intelligent automation solutions, and enable cross-functional teams through shared tooling, optimized controls, and data-driven governance enhancements that improve accuracy, response quality, and organizational throughput.
Responsibilities
- Own automation initiatives that support multiple domains within GNE.
- Build and deploy AI Agents for real governance use cases.
- Partner with cross-functional teams to translate domain needs into scalable automation solutions.
- Use data skills to analyse risks, validate data, and drive process automation and optimisation.
- Identify and assess gaps across the governance lifecycle, from policy development to enforcement, through investigations and root cause analysis.
- Drive cross-functional collaboration to align on findings, share insights, and build consensus on needed improvements.
Minimum Qualification(s)
- Bachelor’s degree or higher.
- Strong communication and stakeholder management skills for cross-team and regional coordination.
- Ability to operate in ambiguity and thrive in fast-paced environments with sound judgment.
- Proficiency in SQL and/or Python.
Preferred Qualification(s)
- Preferably in Computer Science, AI, Data Analytics, or related fields.
- Experience in e-Commerce governance or operations.
- Familiarity working with major LLMs (e.g., GPT, Claude, Llama) including APIs, prompt engineering, or Agent development.
- Strong solutions architecture background, with the ability to translate complex operational problem statements into scalable automation architectures by integrating systems, data, APIs, AI/LLM capabilities, and existing enterprise tooling.