Atlassian

Senior Machine Learning Engineer

Atlassian$171K — $269K *
US-AnywhereRemote in San Francisco, CA
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience in architecting and deploying large-scale ML or AI systems with measurable impact.
  • Proficiency with LLM-powered products and agentic systems.
  • Strong background in model evaluation and dataset development.
  • Hands-on skills in production engineering with a modern ML stack.
  • Demonstrated ability to lead technical initiatives across teams from ambiguity to execution.
  • Excellent judgment in balancing various technical factors like quality, speed, and cost.
  • Strong communication skills for conveying complex ideas and mentoring peers.

Responsibilities

  • Architect and develop scalable ML and evaluation systems, including various support frameworks.
  • Enhance Rovo's capabilities in reasoning, planning, and execution through advanced modeling techniques.
  • Link evaluation results directly to product impacts and customer outcomes.
  • Make critical technical decisions regarding models, fine-tuning, and system architecture balancing quality with efficiency.
  • Lead cross-departmental initiatives and create clarity in undefined problems and solutions.
  • Establish and maintain high-quality standards and systems for Rovo Chat and broader AI products.
  • Provide mentorship and set technical direction to amplify the impact of the team.

Benefits

  • Comprehensive health and wellbeing resources.
  • Paid volunteer days for community engagement.
  • Supportive family benefits and resources.
  • Various perks to enhance work-life balance.
Full Job Description
Overview

Your future team

Atlassian is betting that the next era of teamwork will be shaped by people and AI agents working together, with Rovo as the intelligent teammate that understands an organization’s context and helps move work forward. Turning Rovo’s reach into lasting customer value, experiences people trust, return to, and rely on, is central to Atlassian’s ambition to lead in AI and to our next chapter of growth. Getting quality right is what turns that ambition into customer success, deeper adoption, and durable business impact.

You’ll join the Rovo Chat Quality team within Atlassian’s Rovo + AI organization. We are the team that turns “make Rovo better” into something we can measure, understand, and ship. We build the evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds, where it falls short, and which changes make it meaningfully more useful to customers.

Responsibilities

What you’ll do

As a Senior 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.

  • 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

We expect you to bring:

  • 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.

  • 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: $206,100 - $269,075

Zone B: $185,490 - $242,168

Zone C: $171,063 - $223,332

Qualifications

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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