Responsibilities
- Build Agentic Search and Analytics systems combining planning, retrieval, reasoning, tool execution, and iterative agentic loops.
- Develop multi-source and multimodal search across structured data, documents, images, audio, and video.
- Build a unified semantic layer for heterogeneous enterprise data, including entities, metrics, metadata, and relationships.
- Explore semantic accumulation and self-evolving agents that improve through interactions, feedback, memory, and historical executions.
Requirements
- Bachelor of Science in Computer Science, AI, Machine Learning, or a related field.
- Strong coding, data structures, algorithm, problem-solving, learning, and communication skills.
- Proficiency in Python, Java, C++, or Golang.
- Familiarity with LLMs, agents, search, RAG, information retrieval, or machine learning.
- Preferred experience with Agentic Search, Data Agents, RAG, or AI Search through research, internships, or projects.
- Preferred familiarity with Elasticsearch, OpenSearch, Milvus, Faiss, Qdrant, or similar retrieval systems.
- Preferred experience with tool calling, MCP, Skills, memory, planning, agent evaluation, semantic layers, knowledge graphs, multimodal retrieval, or large-scale data processing.
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.