Principle ML / AI Engineer

Atlassian

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Job Description

Job Overview

Atlassian is seeking an experienced Principal ML / AI Engineer to lead the vision, development, and launch of AI-powered products and platforms. This role involves driving initiatives in two key areas: building scalable AI infrastructure and exploring cutting-edge AI applications. The ideal candidate will exhibit strong technical leadership, balancing hands-on engineering with strategic decision-making and cross-functional collaboration.

Technical Requirements

Required Skills
  • • Machine Learning Engineering
  • • Hands-on work with training/inference pipelines
  • • Prompt Engineering
  • • Programming in Python
  • • Programming in JavaScript
Preferred Skills
  • • PhD or MS in a relevant field
  • • Background in ML modeling
  • • Experience with chatbots
  • • Generative AI
  • • LLM-powered applications
Experience Level

7+ years of experience in machine learning engineering

Responsibilities

  • • Define the technical vision and roadmap for AI Foundation and NextGen
  • • End-to-end ownership of projects from prototyping to productionization
  • • Collaborate with cross-functional teams to align on priorities and deliver impact
  • • Drive platformization of AI/ML systems to enhance scalability and reliability
  • • Explore and apply state-of-the-art AI/ML techniques to solve product challenges
  • • Establish best practices for AI development, quality measurement, monitoring, and scalability

Technical Environment

Languages

Benefits & Perks

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

Additional Information

Location
San Francisco, United States; Remote; Seattle, United States; Austin, United States; New York, United States
Type
Full-time
Compensation
Base pay ranges from $171,900 to $269,075 depending on geographic pay zone

About Atlassian

Atlassian's team collaboration software like Jira, Confluence and Trello help teams organize, discuss, and complete shared work.

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