Overview Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. We are looking for a Principal Machine Learning Engineer to join our Central AI organization. This team is responsible for creating Atlassian's leading AI products, essential infrastructures, data pipelines, frameworks, models, and other capabilities that accelerate AI feature development across the entire company. Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. We hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build the AI functionalities into Atlassian products and services. Your daily responsibilities will include designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings. What you’ll do Design and implement machine learning systems and models; experiment and evaluate models; collaborate with cross-functional teams; mentor engineers; contribute to architecture and strategy for AI features in Atlassian products and services. Qualifications Bachelor's or Masters degree (preferably in Computer Science or equivalent) 5+ years of related industry experience in data science Expertise in Python or Java with production-quality coding; familiarity with SQL; knowledge of Spark and cloud data environments (e.g. AWS, Databricks) Experience building and scaling ML models for business applications using large datasets Strong ability to communicate data science concepts to diverse audiences and craft a compelling narrative Focus on business practicality and the 80/20 rule; balance speed and quality Agile development mindset with emphasis on iteration It's Great, But Not Required If You Have Experience in consumer/B2B SaaS or enterprise space Experience developing deep learning-based models and LLM-related applications Strong problem-solving skills in ambiguous environments Compensation Base pay range is shown in the job post. In the United States, base pay zones are: Zone A: $232,200 - $303,150 Zone B: $209,700 - $273,775 Zone C: $193,500 - $252,625 Base pay within the range is determined by a candidates skills, expertise, or experience. This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information. Confirm your zone with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you and your family, including health and wellbeing resources, paid volunteer days, and more. To learn more, visit go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, we 3re motivated by a common goal: to unleash the potential of every team. Our software products help teams worldwide, and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. EEO & Accommodations We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. All your information will be kept confidential according to EEO guidelines. We can support accommodations or adjustments at any stage of the recruitment process — simply inform our Recruitment team during your conversations.

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