Lead the design, development, deployment, and scaling of machine learning models and AI systems powering Atlassian products. Responsibilities include architecture design, experimentation, evaluation, collaboration with product and engineering teams, technical mentorship, and contributing to company-wide AI strategy. The role focuses on search, agentic AI, language models, and intelligent product capabilities.
Engineering | Seattle, United States | Remote, Remote | San Francisco, United States | Mountain View, United States or Remote
Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work.
We are looking for a Principal Machine Learning Engineer to join our Search & Intelligence organization. The team builds Atlassian's flagship AI products, including agentic search and chat, long-horizon agents, and capabilities that enrich Atlassian's Teamwork Graph. We also develop the frameworks, models, and infrastructure that accelerate AI feature development across the company.
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
What you'll do
As a Principal Machine Learning Engineer, you will lead the development and implementation of cutting-edge machine learning algorithms and sophisticated models that power AI capabilities across Atlassian's products and services. You will collaborate closely with product, engineering, and analytics teams to translate complex business and customer needs into impactful solutions.
Your responsibilities will span designing system and model architectures, leading rigorous experimentation and evaluation, and providing technical mentorship to emerging ML engineers. Beyond these core responsibilities, you will help shape our AI strategy and ensure its transformative potential is realized across Atlassian.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work.
We are looking for a Principal Machine Learning Engineer to join our Search & Intelligence organization. The team builds Atlassian's flagship AI products, including agentic search and chat, long-horizon agents, and capabilities that enrich Atlassian's Teamwork Graph. We also develop the frameworks, models, and infrastructure that accelerate AI feature development across the company.
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
What you'll do
As a Principal Machine Learning Engineer, you will lead the development and implementation of cutting-edge machine learning algorithms and sophisticated models that power AI capabilities across Atlassian's products and services. You will collaborate closely with product, engineering, and analytics teams to translate complex business and customer needs into impactful solutions.
Your responsibilities will span designing system and model architectures, leading rigorous experimentation and evaluation, and providing technical mentorship to emerging ML engineers. Beyond these core responsibilities, you will help shape our AI strategy and ensure its transformative potential is realized across Atlassian.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Atlassian San Francisco, California, USA Office
Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Atlassian Mountain View, California, USA Office
301 E Evelyn Ave., Mountain View, CA, United States, 94041
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Partners with sales teams to support mid-market customers throughout the pre-sales cycle. Conducts discovery, identifies business problems, maps needs to Atlassian products, leads customized value-based demonstrations, guides technical decisions, expands cross-product opportunities, and builds executive relationships. Tracks customer feedback and competitive intelligence, collaborates with product management, and continuously develops product, solution, platform, and sales expertise.
Top Skills:
Artificial IntelligenceAtlassian ProductsAtlassian SoftwareCloud Computing
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical strategy and cross-functional execution for agent integrations, quality measurement, observability, API governance, monetization, rate limits, quotas, runtime safeguards, and platform roadmaps. Translate ambiguous, multi-team challenges into milestones, ownership models, technical decisions, and scalable standards for tool ecosystems and automation platforms.
Top Skills:
Agent IntegrationsApi GovernanceApi MeteringApi VersioningAPIsAuthenticationRate LimitingTelemetryToken ExchangeTool Calling
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Account Executive will drive enterprise sales for financial services customers across the Americas. The role is remote and involves managing customer relationships and pursuing business opportunities. Specific responsibilities and qualifications are not provided in the available job description.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
