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This is a senior machine learning engineering role at Atlassian, but the job description contains no specific responsibilities or qualification details. The position offers flexible work arrangements where Atlassian has a legal entity and includes location-based compensation, benefits, bonuses, commissions, and potential equity.

The Principal Machine Learning Engineer role focuses on developing and leading machine learning engineering initiatives at Atlassian. The provided description emphasizes Atlassian’s flexible work model, compensation, benefits, inclusion commitments, and employment verification requirements, but does not provide detailed technical responsibilities or qualifications.

Build and operate scalable machine learning systems for Atlassian’s Growth organization, including personalized recommendations, ranking, decisioning, experimentation, and customer journey optimization. Partner with product, engineering, data science, analytics, marketing, and sales teams to translate growth opportunities into measurable production capabilities. Develop datasets, features, models, evaluation frameworks, and monitoring systems while optimizing for customer value, fairness, quality, and long-term business outcomes.

Principal Software Engineer role at Atlassian with flexible remote, office, or hybrid work options. The provided description primarily details compensation, benefits, company culture, equal employment practices, and employment verification requirements; specific responsibilities and technical qualifications are not included.

Senior Software Engineer role at Atlassian with flexible work-location options. The provided description contains compensation details, benefits, company information, and equal opportunity statements, but no specific responsibilities, technologies, or qualifications because the job description section is missing.

Lead the design, development, deployment, and optimization of production machine learning systems for search, recommendations, personalization, NLP, deep learning, and AI applications. Own projects across the full ML lifecycle, design scalable architectures and evaluation strategies, collaborate with product and engineering teams, translate research into reliable systems, and mentor other engineers.

The job description content is missing. Based on the title, this role involves senior-level machine learning engineering. Atlassian offers flexible work arrangements, location-based compensation, benefits, bonuses, commissions, and equity.

Leads complex software engineering initiatives from technical design through launch, provides architectural and technical leadership, drives engineering standards, mentors engineers, and collaborates across teams on company-wide projects. Requires deep experience building and operating scalable systems with strong testing, reliability, security, and observability practices, plus full-stack development expertise and familiarity with A/B testing.

Own portfolio-level technical programs spanning product, engineering, GTM, finance, legal, security, and IT. Lead complex launches, migrations, integrations, monetization initiatives, and enterprise transformations; resolve ambiguity, manage dependencies and risks, influence executives, establish governance mechanisms, measure business impact, and mentor program managers. The role requires driving outcomes across multiple teams and time horizons without formal authority.

Lead the technical vision and development of scalable ML and AI evaluation systems for Atlassian’s Rovo Chat. Build agentic capabilities, datasets, simulations, automated judges, experimentation platforms, and quality signals. Identify failure modes, ship interventions, and improve customer outcomes while balancing quality, latency, reliability, safety, and cost. Provide cross-organizational technical leadership, mentorship, design guidance, and strategic direction for AI products.