Principal Machine Learning Systems Engineer

Atlassian의 AI agents facing platform을 설계하고 확장합니다. Rovo Search, Chat, Agent 및 AI 제품의 search/retrieval 기반을 담당합니다. vector/semantic search를 hybrid search로 고도화하고, graph-based orchestration을 활용한 agentic retrieval layer를 구축합니다. 엔터프라이즈 규모에서 정확도, 낮은 latency, 높은 reliability, cost efficiency를 달성하도록 기술 방향을 주도합니다.

필수: 7+ years of experience as a software developer. Deep experience building and operating production search, ads, or recommendation systems at scale. Hands-on experience building GenAI systems, including shipping agents, LLM-powered applications, or AI systems at scale. Expertise in hybrid search, including indexes that combine vector/semantic and full-text/lexical retrieval. 우대: Expert-level with search platform, deep learning training/inference platform. Experience with at least one major vector database (pinecone, milvus, qdrant, turbopuffer, etc). Experience with scaling and deploying Machine Learning models.