Principle Machine Learning Engineer

Atlassian • San Francisco, CA

89d • $193,500 - $303,150

About The Position

Atlassian is looking for a Principal ML Engineer to join the Teamwork Graph team, responsible for building and deploying the knowledge graph of how teams work together. This foundational data layer represents all customer data, connecting entities across features and products. The graph powers various new AI products and enhances the integration of Atlassian products. The role involves executing strategies for advanced graph querying and collaborating with product teams to integrate the Teamwork knowledge into various products like Search, Jira, and Confluence.

Requirements

• 10+ years of experience building and scaling business applications and systems using large amounts of data
• Experience in building generalizable platforms with a focus on empowering applications in product
• Agile development mindset, appreciating the benefits of iteration and improvement
• Experience working with LLMs and RAG is a bonus

Responsibilities

• Process and structure large amounts of graph data to power applications across Atlassian
• Build great APIs
• Utilize generative AI and ML to process, structure, and reason over large amounts of data for intelligent products
• Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation
• Communicate effectively with internal and external partners, present technical concepts and results clearly, and solicit feedback from stakeholders

Benefits

• Health and wellbeing resources
• Paid volunteer days
• Equitable and competitive compensation programs
• Eligibility for bonuses, commissions, and equity

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees