Principal Machine Learning Engineer

Atlassian
United States, Mountain View
Workplace: RemoteFull timeUSD 196,461 - 309,025 annuallyFunction: Data Science & Machine LearningSkills: ["Systems thinking","Technical leadership","Mentoring","Collaboration","Data-driven iteration"]

Shape the technical direction for AI features powering Confluence experiences, from content creation and editing to summarization, recommendations, and multimodal interaction. Design and evolve production-grade ML systems, evaluation and experimentation workflows, and supporting infrastructure for reliable AI delivery at scale. Translate ambiguous product opportunities into technical strategies and measurable outcomes while improving model behavior, quality measurement, reliability, and user impact through data-driven iteration and high-leverage architecture decisions.

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FursaFursa
Atlassian
Atlassian
3 weeks ago

Principal Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Shape the technical direction for AI features powering Confluence experiences, from content creation and editing to summarization, recommendations, and multimodal interaction. Design and evolve production-grade ML systems, evaluation and experimentation workflows, and supporting infrastructure for reliable AI delivery at scale. Translate ambiguous product opportunities into technical strategies and measurable outcomes while improving model behavior, quality measurement, reliability, and user impact through data-driven iteration and high-leverage architecture decisions.
Location: United States, Mountain View
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Set technical direction for ML and AI initiatives across Confluence experiences, including creation, editing, summarization, recommendations, and multimodal interaction.
  • •Design, build, and evolve production-grade ML systems, evaluation workflows, experimentation loops, and supporting infrastructure for AI delivery at scale.
  • •Lead development of customer-facing AI capabilities by translating product opportunities into technical strategies and shipped outcomes.
  • •Drive improvements in model behavior, retrieval and ranking, prompt and workflow design, automated evaluation, quality measurement, and system reliability.
  • •Partner with engineering, product, design, analytics, and platform teams to align on priorities, influence roadmaps, and deliver cross-organizational initiatives.

Pay and Benefits

Salary: USD 196,461 - 309,025 annually
Equity and Bonus:Equity

Key Requirements

  • •Deep expertise in machine learning and AI systems, with the ability to turn advances into production-ready product experiences.
  • •Experience designing and evolving production-grade ML systems, evaluation workflows, and experimentation loops.
  • •Ability to define technical direction by translating ambiguous product opportunities into measurable outcomes and shipped capabilities.
  • •Strong systems thinking across model behavior, retrieval, ranking, prompt/workflow design, automated evaluation, and quality measurement.
  • •Track record of raising engineering standards through technical leadership, mentoring, and guiding complex rollouts.
Skills:Systems thinkingTechnical leadershipMentoringCollaborationData-driven iteration

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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