Team Introduction
The Business Risk Integrated Control (BRIC) team is missioned to : Protect TikTok users, including and beyond content consumers, creators, advertisers;
Secure platform health and community experience authenticity;Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.
We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities.
Co-create a future driven by your inspiration with TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2025.
Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities - Responsible for the research and development of algorithms for AI native applications and optimization of LLM (Large Language Models), driving the exploration and application of cutting-edge technologies.
- Enhance the capabilities of natural language understanding based on LLM, such as content understanding / classification, vector retrieval, structuring, and representation learning of short / long texts.
- Combine the most advanced LLM technology to summarize, understand, and classify user behavior / features.- Explore the application of Agent in complex tasks and achieve the application of complex tasks in the risk control field based on LLM.
- Minimum Qualifications - Bachelor's or Master's degree in Computer Science or other Machine Learning relevant majors. Preferred Qualifications - Priority will be given to those who master the algorithm principles of LLM (Large Language Models), Fine-tuning, Prompt Engineering, vector databases, and Agent application frameworks such as LangChain / Autogen;
familiarity with the latest LLM technologies and experience in training or applying them is a plus.- Good design and coding standards, a passion for writing code, and the ability to produce high-quality designs and code.
- Excellent problem analysis and problem-solving abilities, capable of identifying the essence of issues from complex data.
- Experience in algorithmic research and development of mainstream risk control strategies and LLM systems development experience is a plus.
- Strong sense of responsibility, proactive attitude, and good communication and teamwork skills.
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