Principal Machine Learning Engineer
Working at Atlassian
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As a Principal Machine Learning Engineer in the Confluence AI organization, you will help shape the next generation of AI-powered experiences across Confluence. This is a hands-on principal-level role for an engineer who can turn fast-moving advances in machine learning into high-quality product experiences that reach customers at scale.
You will work across product, platform, and partner teams to define technical direction, solve ambiguous problems, and deliver AI capabilities that improve how users create, edit, discover, and interact with content. The role spans the full stack of AI product development, from model-informed product design and evaluation strategy to production engineering, experimentation, and long-term technical leadership.
This role is especially well suited for someone who combines strong machine learning depth with product instinct and systems thinking. Success in this position means not only building sophisticated AI systems, but also identifying the highest-value opportunities, raising engineering standards, and helping multiple teams move faster and with more confidence.
- 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 & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
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