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Principal Machine Learning Systems EngineerAtlassian • United States
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Principal Machine Learning Systems Engineer

Atlassian
  • US
    United States
  • US
    United States
Apply Now

About

Principal Machine Learning Systems Engineer
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. 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. Your Future Team
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. On Your First Day, We'll Expect You To Have
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 It Would Be Great, But Not Required If You Have
Expertise in taking a platform approach to building product features, enabling multi team contributions Experience with efficiently scaling and deploying Machine Learning models 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: $236,700 - $309,025 Zone B: $213,000 - $278,123 Zone C: $196,400 - $256,491 This role may also be eligible for benefits, bonuses, commissions, and equity. 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. 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.
  • United States

Languages

  • English
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