Atlassian
Senior Principal Machine Learning Systems Engineer, Search Platform
$226K–$356K
Seattle, United States +3 · Principal · Full-time · Posted Oct 28, 2026
- Location
- Seattle, United States
San Francisco, United States
Mountain View, United States or Remote
New York, United States - Experience
- 10+ years of relevant experience; the posting does not state alternatives.
- Visa sponsorship
- The company can hire in any country where it has a legal entity.
About the job
Leads the technical direction and development of scalable, low-latency search serving systems, including production machine-learning inference and agentic search capabilities.
What you'll do
- Design and build reliable, high-throughput agentic search systems.
- Set architecture and roadmap for retrieval, index serving, query processing, and ML inference; establish production evaluation and operational practices.
- Lead cross-team technical initiatives, simplify systems, and mentor senior engineers.
What they ask for
- 10+ years of relevant experience, including designing and operating large-scale, low-latency search, recommendation, advertising, or retrieval systems.
- Deep ML systems experience covering production inference, model optimization, retrieval and ranking pipelines, evaluation, experimentation, and operations.
- Strong distributed-systems expertise and foundations in information retrieval and applied ML, with practical experience in lexical, semantic, vector, or hybrid retrieval.
- Track record of setting cross-organization technical direction and delivering through multiple teams and senior technical leaders.
Pay
$272,700 - $356,025 USD base salary; $245,430 - $320,423 USD base salary; $226,341 - $295,501 USD base salary
AI focus
Build agentic search systems and production ML inference for embedding, retrieval, and ranking models; apply model optimization and rigorous evaluation, experimentation, deployment, and monitoring practices.
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