Senior Machine Learning Engineer

Atlassians can choose where they work, whether in an office, from home, or a combination of the two, giving them the flexibility to balance business responsibilities and support their families.

Atlassian is seeking a Machine Learning Engineer to join our Growth organization. Growth builds intelligent, personalized experiences that help customers discover value, adopt more of Atlassian, and progress through the customer lifecycle, from awareness and activation to expansion, retention, and long-term value. You will help turn behavioral and product signals into scalable ML systems that support the growth funnel, drive meaningful engagement, and enable more relevant customer and sales experiences.

The Growth organization brings together product, engineering, data science, analytics, and product operations to improve how customers discover, adopt, and expand their use of Atlassian. We work across the full funnel, from acquisition and onboarding through activation, conversion, expansion, and retention. Our teams use experimentation, personalization, and intelligent orchestration to personalize and help customers see the right product, feature, or next step at the right time, all while creating durable business value.

As part of Growth, you will build ML capabilities that enable teams to deliver personalized and consistent, measurable experiences across Atlassian’s portfolio. This includes building reliable data foundations, features, models, evaluation frameworks, and decisioning systems that support cross-product recommendations and personalized journeys; for example, moving cross-flow ranking from fragmented, fixed heuristics toward a unified, value-aware orchestration system that ranks recommendations using user context, probability of conversion, and expected lifetime value, going from generic, noisy messaging to actionable and personalized recommendations that improve customer outcomes and business impact across surfaces such as navigation, screen-space flags, and app-switcher experiences.

As a Machine Learning Engineer, you will design, build, and operate ML systems that help Growth make better decisions across the customer and sales funnel. You will develop models and decisioning services for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, providing contextual, proactive support throughout the funnel. You will define the strategy on how our ML capabilities should evolve to support Atlassian short, mid, and long-term goals and drive their implementation.

You will partner closely with product, engineering, data science, analytics, marketing, and sales teams to translate ambiguous growth opportunities into measurable experiments and production capabilities. Your work may include designing models and system architectures; building datasets, features, and evaluation frameworks; running offline policy evaluation and online experiments; monitoring attribution, latency, quality, and fairness; and iterating based on customer and outcomes. You will help ensure that we optimize for durable customer and portfolio value, not only short-term clicks or conversions.

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

• 5+ years of related industry experience in the machine learning domain

• Expertise in Python, and knowledge about other languages such as Java and Typescript, with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark, and cloud data environments (e.g. AWS, Databricks)

• Experience building and scaling machine learning models in business…