Senior Machine Learning Systems Engineer

Job Title: Senior Machine Learning Systems Engineer Company: Atlassian Job Category: Machine Learning Roles & Responsibilities: Overview About Atlassian Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well\-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed. In this role, you will be joining the Central AI Org and more specifically the AI \& ML Platform team. * Develop horizontal AI capabilities and infrastructure that can be leveraged across all products. * Establish a centralized Search, Q\&A, and Conversational AI system that integrates seamlessly with all Atlassian products. * Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem. Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities About This Role As a Senior Machine Learning System Engineer on the AI \& ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high\-quality ML datasets, fine\-tuning open\-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues. This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results. In This Role, You'll Get The Chance To * Collaborate with your teammates to solve complex problems, from technical design to launch. * Deliver cutting\-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers. * Deliver code reviews, documentation \& bug fixes within a strong engineering culture * Partner across engineering teams to take on company\-wide initiatives spanning multiple projects. * Mentor junior members of the team. * 6\+ years of general software engineering experience with 2\+ years in building Machine Learning and AI infra/Platform/Systems * Comprehensive ML lifecycle expertise: Proven experience developing, deploying, and maintaining end\-to\-end ML systems, from data engineering to model serving and monitoring. * Large\-scale system design: Extensive experience designing and building scalable, fault\-tolerant, and high\-performance distributed systems for machine learning. * Proficiency with frameworks and languages: Good proficiency in Python and familiarity with ML frameworks like PyTorch, TensorFlow, or JAX. Bonus if you have worked with other languages like Go, Java, or Scala. * MLOps and automation: Some experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models. Work Location: Auckland, Auckland, New Zealand Availability: Full time

About Central AI Org Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to: Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle\-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications. Qualifications At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Benefits \& Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed