Atlassian

Principal Machine Learning Engineer

Atlassian$196K — $309K *
US-AnywhereRemote in Seattle, WA
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software development experience
  • Experience in building customer-facing generative AI applications at scale
  • Proven record of enhancing quality and reliability in ML solutions
  • Deep comprehension of the machine learning project lifecycle
  • Experience in leading and mentoring senior engineers while collaborating cross-functionally.

Responsibilities

  • Set the technical vision for evaluating and enhancing Rovo Chat
  • Architect and construct scalable production ML and evaluation systems
  • Advance Rovo’s agent capabilities in reasoning, planning, and execution
  • Identify and address systemic failures to improve customer outcomes
  • Make pivotal technical decisions balancing quality, latency, and cost
  • Lead complex, multi-team initiatives to create clarity in ambiguity
  • Establish and promote reusable standards for AI quality across Atlassian
  • Mentor engineers and articulate a vision for developing world-class AI products.

Benefits

  • Health and wellbeing resources
  • Paid volunteer days
  • Support for family needs
  • Engagement opportunities with local community
  • Comprehensive perks and benefits program.
Full Job Description
Overview

Responsibilities

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.

Compensation

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.

Pay Ranges

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

Qualifications 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

Atlassian is a leading provider of collaboration, development, and issue tracking software for teams. With over 194,000 customers worldwide, including 85 of the Fortune 100, Atlassian is changing the way teams work. Our products help teams organize, discuss, and complete shared work. Atlassian has a unique business model that allows us to deliver software to teams of all sizes, from small startups to large enterprises. Our products are available on a subscription basis, with no upfront fees or long-term commitments. Atlassian was founded in 2002 and is headquartered in San Francisco, California.
Learn more about Atlassian
Size
6,433 employees
Market Cap
$31.9 billion
Industry
Net Income
-$1.1 billion
Founded
2002
5 Year Trend
+34.9%
Revenue
$1.8 billion
NASDAQ

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