Senior Machine Learning System Engineer

Atlassian
Seattle, San Francisco, Austin, New York
Workplace: HybridFull timeUSD 149,400 - 235,000 annuallyFunction: Data Science & Machine LearningSkills: ["Cross-functional collaboration","Mentorship","Design reviews","Operational excellence","Incident response"]

Own the design, development, and production deployment of machine learning systems for search across Atlassian’s product suite, including Jira, Confluence, and Rovo. Build scalable search infrastructure with retrieval pipelines, vector indexing, and embedding-based semantic search. Develop and serve production ML models (rankers and rerankers) using Triton and PyTorch, and design retrieval for agentic and RAG workflows. Drive reliability, monitoring, incident response, and FinOps cost optimization while collaborating across product and platform teams.

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FursaFursa
Atlassian
Atlassian
1 month ago

Senior Machine Learning System Engineer

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Last checked: 12 hours agoStatus: Live

Job Summary

Own the design, development, and production deployment of machine learning systems for search across Atlassian’s product suite, including Jira, Confluence, and Rovo. Build scalable search infrastructure with retrieval pipelines, vector indexing, and embedding-based semantic search. Develop and serve production ML models (rankers and rerankers) using Triton and PyTorch, and design retrieval for agentic and RAG workflows. Drive reliability, monitoring, incident response, and FinOps cost optimization while collaborating across product and platform teams.
Location: Seattle, San Francisco, Austin, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the design, development, and production deployment of ML systems powering search experiences across Atlassian’s product suite.
  • •Design and implement scalable search serving infrastructure, including retrieval pipelines, vector indexing, and embedding-based semantic search.
  • •Develop and maintain production ML models (neural rankers, embedding models, reranking systems) and integrate them into serving using Triton and PyTorch.
  • •Design retrieval systems for agentic and RAG use cases and evolve search infrastructure as a foundational layer for AI agents with Rovo and AI platform teams.
  • •Drive observability, monitoring, incident response, and FinOps cost optimization for vector search infrastructure and ML serving fleets.

Pay and Benefits

Salary: USD 149,400 - 235,000 annually
Perks:Health InsurancePaid Volunteer

Key Requirements

  • •Own end-to-end delivery of ML components from experimentation through production rollout across multiple regions and tenants.
  • •Design scalable search serving infrastructure, including retrieval pipelines, vector indexing systems, and embedding-based semantic search with SLO targets.
  • •Build and maintain production ML models such as neural rankers, embedding models, and reranking systems, integrating them into serving infrastructure using Triton and PyTorch.
  • •Design retrieval systems for agentic and RAG use cases, including personalized indexes, grounding pipelines, and multi-step retrieval workflows.
  • •Drive observability, monitoring, incident response, runbook development, and proactive capacity planning, applying FinOps principles for cost optimization.
Experience:Machine learningAI agentsSearchRAGVector search
Skills:Cross-functional collaborationMentorshipDesign reviewsOperational excellenceIncident response
Tech Stack:TritonPyTorchRAGVector indexingEmbeddingsNeural rankersSemantic search

Company Brief

Atlassian
Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2002
Glassdoor
Glassdoor: 3.1
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