Base Salary
$196k - $309k/yr
Responsibilities
- 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.
- Integrate personal work context into Rovo Chat and develop context-selection strategies.
- Build low-latency, permission-safe APIs and CLI experiences for personal work context.
- Enable MCP-compatible agents to query users’ work environments in real time.
- Provide technical leadership across Knowledge AI, Teamwork Graph, and product teams.
- Mentor engineers and champion responsible, privacy-safe AI and data quality.
Requirements
- 8+ years of experience in ML/AI engineering, including deep expertise in knowledge graphs, graph neural networks, or entity and relationship extraction.
- Proven experience building and shipping production-scale ML-powered graph inference or knowledge representation systems.
- Hands-on experience with graph databases such as Neo4j or Neptune, graph query languages such as Cypher or SPARQL, or graph processing frameworks such as GraphX, DGL, or PyG.
- Experience delivering end-to-end ML features from data pipelines and model training through serving, monitoring, and iteration.
- Strong understanding of LLM orchestration, retrieval-augmented generation, and context injection for improving grounding and relevance.
- Experience deriving implicit entities and relationships from heterogeneous activity signals such as work items, documents, projects, and code changes.
- Proficiency with offline precision/recall benchmarks, online A/B testing, and human evaluation for ML systems.
- Ability to set technical direction across teams, drive architecture decisions, and communicate tradeoffs to engineering and product leadership.
- Master's or PhD in Computer Science, Machine Learning, Information Retrieval, or a related field preferred, or equivalent industry experience.
- Preferred experience with enterprise knowledge graphs, semantic embeddings, ontology design, permission-aware data systems, privacy-by-design, collaboration analytics, social network analysis, or user activity modeling.
Benefits
- Atlassian offers health and wellbeing resources, paid volunteer days, and additional benefits and perks.
- Employees can work from an office, from home, or in a combination of the two, and Atlassian can hire in countries where it has a legal entity.
- The role may also be eligible for benefits, bonuses, commissions, and equity.
Tech Stack
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.