Base Salary
$196k - $309k/yr
Responsibilities
- Set technical direction for machine learning and AI initiatives powering Confluence experiences.
- Design, build, and evolve production ML systems, evaluation workflows, experimentation loops, and supporting infrastructure.
- Develop customer-facing AI capabilities from ambiguous product opportunities through technical strategy and shipped experiences.
- Advance model behavior, retrieval, ranking, prompt and workflow design, automated evaluation, quality measurement, and system reliability.
- Partner with engineering, product, design, analytics, and platform teams on priorities, roadmaps, and cross-organizational initiatives.
- Identify product and model failure modes, develop interventions, and use experimentation and data-driven iteration to improve customer impact.
- Make architectural decisions balancing model quality, latency, cost, safety, maintainability, and user experience.
- Prototype, implement, debug, and guide complex production rollouts as a hands-on engineer.
- Mentor engineers, lead design reviews, improve technical quality, and establish reusable patterns across teams.
Requirements
- Principal-level machine learning engineering experience with strong machine learning depth, product instinct, and systems thinking.
- Ability to design and operate production-grade ML systems and AI capabilities at scale.
- Experience with model behavior, retrieval, ranking, prompt and workflow design, automated evaluation, quality measurement, and system reliability.
- Ability to translate ambiguous product opportunities into practical technical strategies, measurable outcomes, and shipped experiences.
- Ability to make high-leverage architectural decisions across application layers while balancing quality, latency, cost, safety, maintainability, and user experience.
- Strong cross-functional collaboration and technical leadership across engineering, product, design, analytics, and platform teams.
- Experience mentoring engineers, leading design reviews, and influencing technical direction across multiple teams.
Benefits
- Atlassians can work from an office, from home, or in a combination of the two.
- The company can hire people in any country where it has a legal entity.
- The role may be eligible for benefits, bonuses, commissions, and equity.
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.