Principal Machine Learning Engineer - Central AI

Overview Atlassian is seeking a Principal Machine Learning Scientist to join our Central AI team located in Bellevue WA. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.

Your Future Team The Central AI org is part of the Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all products and platforms, provide cohesive AI experiences, and set up an Atlassian AI infrastructure for the future. Central AI constructs underlying infrastructure and capacities to enable seamless AI integration across departments and to develop core shared AI experiences such as search, knowledge discovery, and conversation.

Responsibilities As a Principal Machine Learning Engineer, drive the development and implementation of cutting-edge machine learning algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to embed AI functionalities into Atlassian products and services. Responsibilities include designing system and model architectures, conducting rigorous experimentation and model evaluations, and guiding emerging ML engineers. Ensure AI's transformative potential is realized across offerings.

Qualifications On the first day, we expect you to have

Bachelor's or Master's degree (preferably Computer Science or equivalent)

5+ years of related industry experience in data science

Expertise in Python or Java with production-quality coding ability; familiarity with SQL, Spark, and cloud data environments (e.g., AWS, Databricks)

Experience building and scaling ML models for business applications using large datasets

Ability to communicate data science concepts to diverse audiences and craft a compelling narrative

Focus on business practicality and the 80 / 20 rule; value of delivering usable output over perfection

Agile development mindset with a preference for constant iteration

Nice to have

Experience in consumer / SaaS or enterprise / B2B spaces

Experience developing deep learning models and LLM-related applications

Aptitude for solving ambiguous problems and breaking them into manageable components

Compensation and Benefits Base pay ranges in the United States are zone-based. Zone A : $229,300–$305,700; Zone B : $206,300–$275,100; Zone C : $190,300–$253,700. This role may be eligible for benefits, bonuses, commissions, and equity. For more information, visit go.atlassian.com / payzones and confirm your zone with the recruiter.

Our perks and benefits include health coverage, paid volunteer days, wellness resources, and more. Visit go.atlassian.com / perksandbenefits to learn more.

About Atlassian At Atlassian, we aim to unleash the potential of every team. Our software helps teams collaborate and achieve what may be impossible alone. We value diverse perspectives and do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All information is kept confidential according to EEO guidelines. We can offer accommodations or adjustments at any recruitment stage upon request.

To learn more about our culture and hiring process, visit go.atlassian.com / crh.

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