Principal Machine Learning Engineer

Posted Yesterday
Hiring Remotely in Seattle, WA, USA
In-Office or Remote
196K-309K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
Lead the technical vision and development of scalable ML and AI evaluation systems for Atlassian’s Rovo Chat. Build agentic capabilities, datasets, simulations, automated judges, experimentation platforms, and quality signals. Identify failure modes, ship interventions, and improve customer outcomes while balancing quality, latency, reliability, safety, and cost. Provide cross-organizational technical leadership, mentorship, design guidance, and strategic direction for AI products.
Summary Generated by Built In
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.
As a Principal ML 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.
What you'll do
As a Principal Machine Learning Engineer, you'll tackle the open-ended technical problems that determine whether customers trust Rovo with increasingly complex and consequential work. You'll remain deeply hands-on while setting direction across teams: driving advances in models, agents, and evaluation and turning them into measurable improvements for millions of active users.
  • Set the technical vision for how Atlassian measures and improves Rovo Chat, translating qualities such as helpfulness, correctness, judgment, and reliability into rigorous evaluation strategies.
  • Architect and build production ML and evaluation systems that operate at scale, including datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals.
  • Advance the state of Rovo's agentic capabilities across reasoning, planning, tool selection and use, action correctness, retrieval, memory, and long-horizon execution.
  • Close the loop between evaluation and product impact: identify systemic failure modes, develop interventions, ship them to production, and establish whether they improved customer outcomes.
  • Make high-leverage technical decisions across model choice, prompting, fine-tuning, data strategy, system architecture, and inference; balancing quality with latency, reliability, safety, and cost.
  • Lead ambitious, cross-organizational initiatives with ML, engineering, product, analytics, research, and design partners, creating clarity and momentum where neither the problem nor the solution is well defined.
  • Establish reusable methods, systems, and quality standards that raise the bar not only for Rovo Chat, but for AI-powered experiences across Atlassian.
  • Multiply the impact of other engineers through technical leadership, design reviews, mentorship, and a compelling long-term vision for how we build and evaluate world-class AI products.

Your Background
  • A track record of architecting and shipping large-scale ML or AI systems that deliver measurable customer and business impact.
  • Deep experience with LLM-powered products, agentic systems, model evaluation, experimentation, and dataset development.
  • Strong production engineering skills and the ability to remain hands-on in a modern ML stack.
  • Principal-level technical leadership: setting direction, influencing across teams, and leading complex initiatives from ambiguity to production.
  • Excellent product and technical judgment, including balancing quality, speed, reliability, safety, latency, and cost.
  • The ability to communicate complex ideas clearly and raise the effectiveness of engineers around you through mentorship and technical leadership.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones 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.
This role may also be eligible for benefits, bonuses, commissions, and equity.
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: $213,030 - $278,123
Zone C: $196,461 - $256,491
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

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.

Skills Required

  • 7+ years of experience as a software developer
  • Experience building customer-facing generative AI applications at scale
  • Experience pushing the state of the art to achieve breakthrough quality and reliability
  • Deep understanding of the machine learning project lifecycle
  • Experience leading and supporting senior engineers
  • Experience working cross-functionally
  • Track record of architecting and shipping large-scale ML or AI systems with measurable customer and business impact
  • Deep experience with LLM-powered products, agentic systems, model evaluation, experimentation, and dataset development
  • Strong production engineering skills and ability to remain hands-on in a modern ML stack
  • Principal-level technical leadership, including setting direction, influencing across teams, and leading complex initiatives from ambiguity to production
  • Excellent product and technical judgment balancing quality, speed, reliability, safety, latency, and cost
  • Ability to communicate complex ideas clearly and improve engineer effectiveness through mentorship and technical leadership

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The Company
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

What We Do

Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.

Why Work With Us

At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.

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