LLM & Agentic AI Machine Learning Software Engineer, TikTok - Content Ecology Local Services
TikTok
- Location
- San Jose, California, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 148 approvals (FY2023)
Skills
About this role
About the Team The Content Ecology Algorithm Team drives TikTok's AI innovations in LLMs/MLLMs, NLP, Computer Vision, Multimodal learning, Agentic AI, and recommendation algorithms. We develop cutting-edge AI capabilities that power multiple business lines.
You will tackle unique algorithm challenges in building products for a global audience. Our platform's diverse content and worldwide user base create a wealth of opportunities for AI applications. With rapidly growing businesses such as TikTok Local Services, you'll have the chance to bring cutting-edge AI innovations into real-world production.
Responsibilities - Drive the research and development of core algorithms for TikTok Local Services, leveraging LLMs/MLLMs, Agentic AI, NLP, Computer Vision, conversion modeling, global optimization, and causal uplift modeling. - Develop deep semantic representations and structured models of content, products, and user intent, while building foundational capabilities across product knowledge graphs, intent understanding, and end-to-end intelligent transaction optimization. - Continuously enhance both supply- and demand-side experiences to drive sustainable growth in transaction conversion. - Tackle frontier technical challenges unique to local services, including multilingual and multimodal understanding, highly dynamic environments, and long-horizon sequential decision-making. - Stay at the forefront of research, translate state-of-the-art advances into production-grade solutions, scale proven innovations, and establish reusable algorithmic foundations with broad applicability.