Machine Learning Systems Engineer

Engineering | San Francisco, United States | Remote, Remote |

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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

About Central AI Org

Our organisation is designed to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Our purpose is to:

• Build horizontal AI capabilities and infrastructure which provides leverage across products
• Build a centralised Search, Q&A and Conversational AI across all Atlassian products.
• Explore integration of Atlassian products with AI products outside Atlassian.

About AI & ML Platform Team

Our team is building the foundations to democratise Machine Learning for Atlassian's teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows.

The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.

As a Machine Learning Systems Engineer on the AI & ML Platform team, you will build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira & Confluence to provide access to curated LLMs.

You will use your software development expertise to solve difficult problems, tackling infrastructure and architecture challenges.

You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.

• Regularly tackle complex problems in the team, from technical design to launch.
• Routinely tackle complex architecture challenges and defines coding standards & patterns for the team.
• Lead the team through times of ambiguity, help them adapt and deliver positive impact.
• Mentor junior members on the team.
• Our tech stack is primarily Java/Kotlin built on AWS.
• Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin).
• Understanding and experience with Machine Learning project lifecycle and tools.
• Understanding of LLMs, best deployment practices and inference optimisation.
• Experience in building and implementing high-performance RESTful micro-services.
• Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking).
• Experience with Continuous Delivery and Continuous Integration.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones.

For this role, our current base pay ranges for new hires in each zone are:

• Zone A: $175,500 USD - $229,125 USD
• Zone B: $158,400 - $206,800 USD
• Zone C: $145,800 - $190,350 USD

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Atlassian…