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About the Role
Atlassian is seeking a Principal Machine Learning Engineer to shape the future of teamwork with AI agents. You will be responsible for setting the technical vision, architecting and building production ML systems, and advancing agentic capabilities to improve Rovo Chat for millions of users. This role requires deep technical leadership and hands-on experience in LLM-powered products and ML systems.
Responsibilities
- Set the technical vision for how Atlassian measures and improves Rovo Chat, translating qualities like helpfulness, correctness, judgment, and reliability into rigorous evaluation strategies.
- Architect and build production ML and evaluation systems that operate at scale, including datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals.
- Advance the state of Rovo’s agentic capabilities across reasoning, planning, tool selection and use, action correctness, retrieval, memory, and long-horizon execution.
- Close the loop between evaluation and product impact: identify systemic failure modes, develop interventions, ship them to production, and establish whether they improved customer outcomes.
- Make high-leverage technical decisions across model choice, prompting, fine-tuning, data strategy, system architecture, and inference; balancing quality with latency, reliability, safety, and cost.
- Lead ambitious, cross-organizational initiatives with ML, engineering, product, analytics, research, and design partners, creating clarity and momentum where neither the problem nor the solution is well defined.
- Establish reusable methods, systems, and quality standards that raise the bar not only for Rovo Chat, but for AI-powered experiences across Atlassian.
- Multiply the impact of other engineers through technical leadership, design reviews, mentorship, and a compelling long-term vision for how we build and evaluate world-class AI products.
Requirements
- A track record of architecting and shipping large-scale ML or AI systems that deliver measurable customer and business impact.
- Deep experience with LLM-powered products, agentic systems, model evaluation, experimentation, and dataset development.
- Strong production engineering skills and the ability to remain hands-on in a modern ML stack.
- Principal-level technical leadership: setting direction, influencing across teams, and leading complex initiatives from ambiguity to production.
- Excellent product and technical judgment, including balancing quality, speed, reliability, safety, latency, and cost.
- The ability to communicate complex ideas clearly and raise the effectiveness of engineers around you through mentorship and technical leadership.
Skills
- LLM-powered products
- Agentic systems
- Model evaluation
- Experimentation
- Dataset development
- Production engineering
- ML stack
- Technical leadership
- Product judgment
- Technical judgment
- Communication
Location
- Any country where Atlassian has a legal entity
Work Type
- Office
- Home
- Combination of office and home
Experience Level
- Principal
Salary/Compensations
- Zone A: $236,700 - $309,025
- Zone B: $213,030 - $278,123
- Zone C: $196,461 - $256,491
Benefits
- Health and wellbeing resources
- Paid volunteer days
- Benefits, bonuses, commissions, and equity may be available
About the Company
- 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.
Equal Opportunity
- 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.
- We can support with accommodations or adjustments at any stage of the recruitment process.