Multiple employees collaborating on work
Atlassian Logo

Atlassian

Principal Machine Learning Engineer - Central AI

Sorry, this job was removed Sorry, this job was removed at 07:40 p.m. (PST) on Monday, Jun 23, 2025
In-Office or Remote
Hiring Remotely in Seattle, WA
190K-306K Annually
In-Office or Remote
Hiring Remotely in Seattle, WA
190K-306K Annually

Similar Jobs at Atlassian

9 Hours Ago
In-Office or Remote
Seattle, WA, USA
219K-352K Annually
Expert/Leader
219K-352K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the development of advanced machine learning models, collaborating with multi-disciplinary teams to enhance AI capabilities in Atlassian products.
Top Skills: AWSAzureGCPJaxPythonPyTorchTensorFlow
9 Hours Ago
In-Office or Remote
Seattle, WA, USA
219K-352K Annually
Expert/Leader
219K-352K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the development of advanced machine learning models, collaborating with multi-disciplinary teams to enhance AI capabilities in Atlassian products.
Top Skills: AWSAzureGCPJaxPythonPyTorchTensorFlow
9 Hours Ago
In-Office or Remote
Seattle, WA, USA
198K-319K Annually
Senior level
198K-319K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the Search Serving Platform team to develop scalable search systems, ensuring high-quality performance and team collaboration across global teams.
Top Skills: Computer ScienceSearch Systems
Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work.
We are looking for a Principal Machine Learning Engineer to become a part of our Central AI organization. This team is responsible for creating Atlassian's leading AI products, essential infrastructures, data pipelines, frameworks, models, and other capabilities that accelerate AI feature development across the entire company.
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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
What you'll do
As a Principal Machine Learning Engineer, you will drive the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.
On the first day, we'll expect you to have
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 5+ years of related industry experience in the data science domain
  • Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
  • Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have
  • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
  • Experience in developing deep learning-based models and working on LLM-related applications
  • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.

Compensation
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: $229,200 - $305,600
Zone B: $206,300 - $275,100
Zone C: $190,300 - $253,700
This role may also be eligible for benefits, bonuses, commissions, and equity.
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.
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 .

Atlassian Bellevue, Washington, USA Office

10900 NE 4th St, Bellevue, WA, United States, 98004

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account