Principle Machine Learning Systems Engineer
About The Position
Working at Atlassian, employees can choose where they work – whether in an office, from home, or a combination of the two. This flexibility allows Atlassians to better support their family, personal goals, and other priorities. Atlassian can hire people in any country where they have a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Atlassian’s biggest bet and fastest area of growth, Rovo Chat. You will bring the latest bleeding edge innovations to the product and build agent harnesses that deliver a step function improvement in quality, reliability and latency. You will have the opportunity to lead other 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. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings. The Rovo & AI Engineering org’s mission is to make Rovo the fastest, most trusted way for any team to find, understand, and act on their organization’s knowledge. Over the last year, the team has made rapid strides along this direction and the product surface has witnessed a 10x growth as a direct result of this effort.
Requirements
- 7+ years of experience as a software developer
- Experience building customer facing Gen AI Applications at scale
- Experience pushing the state of the art to achieve breakthrough quality and reliability
- Deep understanding of Machine Learning projects lifecycle
- Experience leading and supporting senior engineers and working cross functionally
Nice To Haves
- Expertise in taking a platform approach to building product features, enabling multi team contributions
- Experience with efficiently scaling and deploying Machine Learning models
Responsibilities
- Contribute to Atlassian’s biggest bet and fastest area of growth, Rovo Chat.
- Bring the latest bleeding edge innovations to the product.
- Build agent harnesses that deliver a step function improvement in quality, reliability and latency.
- Lead other engineers to drive involved projects from technical design to launch.
- Collaborate with other teams and internal customers to set expectations, gather input and communicate results.
- Ensure AI's transformative potential is realized across our offerings.
Benefits
- health and wellbeing resources
- paid volunteer days
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
