Note: The job is a remote job and is open to candidates in USA. Atlassian develops collaboration software designed to help teams work more effectively. The Principal Machine Learning Engineer will shape AI-powered Confluence experiences by setting technical direction, building production-grade machine learning systems, and delivering customer-facing AI capabilities. The role also involves cross-functional leadership, experimentation, architectural decision-making, mentoring, and improving AI reliability and quality.
Responsibilities
- Set technical direction for machine learning and AI initiatives that power Confluence experiences across areas such as content creation, editing, summarization, recommendations, and multimodal interaction
- Design, build, and evolve production-grade ML systems, evaluation workflows, experimentation loops, and supporting infrastructure that enable reliable delivery of AI features at scale
- Lead the development of customer-facing AI capabilities by translating ambiguous product opportunities into practical technical strategies, measurable outcomes, and shipped experiences
- Drive advances in areas such as model behavior, retrieval, ranking, prompt and workflow design, automated evaluation, quality measurement, and system reliability
- Partner closely with engineering, product, design, analytics, and platform teams to align on priorities, influence roadmaps, and deliver cross-organizational initiatives
- Identify systemic product or model failure modes, develop interventions, and close the loop between technical improvements and customer impact through experimentation and data-driven iteration
- Make high-leverage architectural decisions across application layers, balancing model quality, latency, cost, safety, maintainability, and user experience
- Contribute as a deeply hands-on engineer when needed, including prototyping, implementation, debugging, and guiding complex production rollouts
- Raise the bar for principal-level engineering by mentoring other engineers, leading design reviews, improving technical quality, and establishing reusable patterns that benefit multiple teams
- Help build the foundations that allow Confluence AI teams to ship deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows
Benefits
- Atlassians can choose where they work – whether in an office, from home, or a combination of the two.
- This role may also be eligible for benefits, bonuses, commissions, and equity.
- Health and wellbeing resources
- Paid volunteer days
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