Principal Machine Learning Engineer

Engineering | Seattle, United States | Remote, Remote | Mountain View, United States or Remote | San Francisco, United States



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.

At Atlassian, we're on a mission to unleash the potential of every team. Central to that mission is the Teamwork Graph (TWG) Atlassian's real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected third-party tools. We believe the next frontier of AI-powered teamwork is personal working environment context: knowing who you collaborate with, what you're actively working on, and which documents matter right now so that Rovo Chat, agents, and the TWG CLI can deliver answers that are precise, relevant, and actionable.

We're seeking a Principal Machine Learning Engineer (P60) to lead and design knowledge graph projects that build this personal working environment context layer and serve it at scale through Rovo Chat and the Teamwork Graph CLI.

What You'll Do

Build Personal Work Context Graphs

• Design graph inference pipelines that surface collaborators, active work, documents, and projects from connected tools.
• Define schemas, permissions, and evaluation frameworks for reliable inferred context.

Improve Rovo Chat with Graph Context

• Integrate personal context into Rovo Chat to improve relevance, groundedness, and efficiency.
• Build and measure context-selection strategies with the Rovo Chat team.

Deliver Context Through Graph APIs & CLI

• Build low-latency, permission-safe APIs and CLI experiences for personal work context.
• Enable MCP-compatible agents to query a user's work environment in real time.

Lead Across Teams

• Provide technical leadership across Knowledge AI, Teamwork Graph, and product teams.
• Mentor engineers and champion responsible, privacy-safe AI and data quality.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

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