Senior ML Systems Engineer, Scalable AI Search Platform

Atlassian; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Atlassian seeks a Senior Machine Learning Systems Engineer for the Search Platform to own ML system design, development, and production deployment powering search across Jira, Confluence, and Rovo.

You will build scalable retrieval pipelines, vector indexing, and embedding-based search, collaborating with ML researchers to productionize models with robust monitoring and cost efficiency.

Qualifications

• Own and drive the design, development, and production deployment of ML systems powering search.

Responsibilities

• Design scalable search serving infrastructure including retrieval pipelines and embedding-based semantic search.

Skills

Machine learning systems

Search infrastructure

Embedding-based search

Vector indexing

RAG (Retrieval-Augmented Generation)

PyTorch

Triton

Cost optimization (FinOps)

Mentoring

Tools

PyTorch

Triton

Job description

Atlassian seeks a Senior Machine Learning Systems Engineer for the Search Platform to own ML system design, development, and production deployment powering search across Jira, Confluence, and Rovo.

You will build scalable retrieval pipelines, vector indexing, and embedding-based search, collaborating with ML researchers to productionize models with robust monitoring and cost efficiency.