Senior Machine Learning Engineer

Overview: 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.

Your future team

Atlassian is betting that the next era of teamwork will be shaped by people and AI agents working together, with Rovo as the intelligent teammate that understands an organization’s context and helps move work forward. Turning Rovo’s reach into lasting customer value, experiences people trust, return to, and rely on, is central to Atlassian’s ambition to lead in AI and to our next chapter of growth. Getting quality right is what turns that ambition into customer success, deeper adoption, and durable business impact.

You’ll join the Rovo Chat Quality team within Atlassian’s Rovo + AI organization. We are the team that turns “make Rovo better” into something we can measure, understand, and ship. We build the evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds, where it falls short, and which changes make it meaningfully more useful to customers.

Responsibilities: What you’ll do

As a Senior Machine Learning Engineer, you’ll tackle the open-ended technical problems that determine whether customers trust Rovo with increasingly complex and consequential work. You’ll remain deeply hands-on while setting direction across teams: driving advances in models, agents, and evaluation and turning them into measurable improvements for millions of active users.

• 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 corre