Machine Learning Engineer, Risk Management - Agentic AI
We are looking for a Machine Learning Engineer to join the Responsible Recommendation System team, focused on safeguarding the TikTok ecosystem and improving product success through AI solutions in content understanding, recommendation systems, and agentic AI techniques.
Responsibilities
- Design, develop, and deploy agentic AI systems addressing key risk management challenges and driving innovative product solutions.
- Translate complex business problems into robust, production-ready AI solutions using leading machine learning techniques.
- Collaborate with cross-functional teams to integrate research insights into the product roadmap.
- Drive rigorous data-driven analysis to optimize system performance and mitigate risks.
- Conceptualize practical problems and leverage advanced LLM technologies to develop impactful solutions.
Qualifications
Bachelor’s degree in computer science, engineering, or related field (advanced degree preferred) with significant experience in machine learning and system design.Strong programming skills (e.g., Python, C++, etc.) and a track record of designing scalable, production-grade systems.Solid background in information retrieval, natural language processing, and data mining.Experience with Retrieval-Augmented Generation (RAG), multi-agent frameworks, or other LLM-based applications is a plus.Ability to thrive in a fast-paced environment, delivering innovative ML-powered solutions under tight deadlines.Excellent problem-solving skills with the ability to translate real-world challenges into AI solutions.About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We operate globally with offices in multiple cities.
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