Senior Machine Learning Systems Engineering Manager - AI & ML Platform

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.

The AI & ML platform team builds and runs the infrastructure that underpins dozens of Atlassian's AI, Machine Learning & Search capabilities across our wide range of products. Our mission is to democratise AI & Machine Learning for Atlassian’s teams, customers and ecosystem. We do this by creating foundational infrastructure and tools that are user-friendly and reliable - accelerating the development, deployment, measurement, and operation of AI & ML experiences. Our team owns infrastructure such as the platform we use to run advanced generative LLMs & other models, the GPU accelerated model serving platform teams across Atlassian use to deploy their own models, the data access and training infrastructure we are using to develop our next generation of in house AI, the feature stores we use to run personalised recommendations in production, and many other capabilities. We work very closely with our stakeholders - the product & search teams - to help navigate the rapidly evolving space and helping deliver Atlassian Intelligence features to customers.

AI & ML Platform Team teams are distributed across Australia, India, Singapore & the US, and sit within the Central AI organisation along side Search & Conversational AI teams.

You will work closely with our leadership group of the AI & ML Platform team, technical program managers, stakeholders & architects to influence the direction of the platform and plan the steps to get there - in the rapidly changing AI domain. You will be responsible for building effective teams, empowering them to achieve their goals, and putting those goals into a broader context. Your greatest responsibility will be looking after the individuals reporting to you – coaching and supporting them in their professional development, unlocking their potential, and challenging them to step outside their comfort zone to grow and excel. As a hands-on engineering leader, you will also contribute to the engineering and operational practices and bring in a continuous improvement mindset. As the AI space is evolving quickly - as a team close to the technology there is a great opportunity for thought leadership and helping influence the rest of the company on how they can use our platform best.