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Senior Machine Learning Systems Engineering Manager - AI & ML Platform

Atlassian

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Questions you are likely to be asked

  1. Why do you want to join Atlassian?
  2. What is your experience with Agile? Tell me one thing you learned the hard way.
  3. How did you know your model was actually good, and not just good on your test set?
  4. Tell me about a time the data was messy or wrong. What did you do?
  5. How would you explain your model's result to someone who is not technical?

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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. About AI & ML Platform Team 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. On their first day, we'll expect Significant technical experience with building large-scale backend software / platforms Experience leading, supporting & growing large development teams Familiarity with agile software development methodologies Ability to drive high technical standards, pushing innovation, quality, and operational excellence Driving clarity from requirements and providing direction in ambiguous environments Strong execution focus and proven track record of complex software delivery to production environments It's great if you have Experience in AI & ML or Data Experience in defining a strategic roadmap for products and platforms Experience with distributed development teams across multiple geographies Continuous delivery with a strong bias for action Your background 5+ years of software development management experience, managing team of 5 plus engineers Demonstrated experience partnering with product managers and cross-functional stakeholders to create the course of a platform Knowledge of Agile software development methodologies (e.g., XP, scrum) Demonstrated experience mentoring and growing high performing engineering teams Contributed in the past to the technical strategy of the team 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. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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