Senior Machine Learning Engineer

Working at Atlassian

• Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations.
• Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.
• Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the businesss biggest challenges, especially focussed on the fast-paced Atlassian Intelligence suite of features
• Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
• Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations.
• Partner with cross-functional teams to inform, influence, and execute strategy decisions
• Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.
• You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.

• 5+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields
• Ability to craft analysis into well-written and persuasive content
• Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
• Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
• Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
• Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
• Familiarity with LLM or ML driven product algorithms and success metric selection and measurement

• Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features
• Understanding of the SaaS business model and key metrics
• Experience in building solutions to improve the software development process.