Principle Machine Learning Engineer

Job Title: Principle Machine Learning Engineer Company: Atlassian Job Category: Machine Learning Roles & Responsibilities: Atlassian is seeking a Principal Machine Learning Engineer to set the technical direction for AI agent quality in Studio. This is a hands\-on technical leadership role. You'll define how we measure whether agents built on our platform are doing good work, and lead the work to make them better. Responsibilities: Your future team Studio is where Atlassian customers build, run and manage AI agents under the Rovo brand. Rovo Agents is a model\-agnostic cloud agent platform. Teams give an agent instructions, knowledge, tools and skills, then put it to work in Jira and Confluence, inside automation rules, or as an autonomous agent that works on its own. * Own the agent quality architecture. Define what we measure, how production traffic is sampled, how it is judged, and how results roll up without hiding important failure modes behind one score. * Design for cost and accuracy. Decide which quality questions can be answered with deterministic checks, which need behavioral heuristics, and which need contextual model\-based judgment. Build the evaluation system around those decisions. * Architect evaluation and experimentation. Define the benchmarks, datasets, evaluation environments and observability needed to assess agent behavior and task success. Guide teams in building reproducible experiments and calibrated evaluators that inform model, prompt and launch decisions. * Make quality part of how we ship. Set up regression gates and pre\-release checks for agent, prompt and model changes, and drift detection on production traffic. * Lead the hardest quality problems hands\-on. Examples include agent selection and routing, tool\-use reliability, and quality for agents that run inside automations with no user present to give feedback. * Lead technical direction across teams. Set a multi\-quarter roadmap with product and data science, partner with central AI teams and model providers, and take accountability for measurable improvements in agent quality. * Grow ML craft. Mentor engineers through design reviews and hands\-on work in a team made up mostly of software engineers. Work Location: Sydney, NSW, Australia Availability: Full time

Qualifications: Your background * Experience building agent platforms where customers configure the agents. * Experience with trajectory\-level evaluation of multi\-step agents, or prompt and agent optimization. * Experience in enterprise SaaS. * A master's or PhD in Computer Science, Machine Learning or a related field. Key Skills: Machine Learning, NLP Salary: Not disclosed