Multiple employees collaborating on work
Atlassian Logo

Atlassian

Principle Machine Learning Engineer -- Teamwork Graph

Job Posted 2 Days Ago Reposted 2 Days Ago
Remote
Hiring Remotely in Mountain View, CA
190K-306K Annually
Expert/Leader
Remote
Hiring Remotely in Mountain View, CA
190K-306K Annually
Expert/Leader
The Principal Machine Learning Engineer will help build and deploy the knowledge graph, process large graph data, develop APIs, and utilize generative AI and ML for intelligent applications. Responsibilities include mentoring team members, collaborating with product teams, and effectively communicating with stakeholders.
The summary above was generated by AI

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.
Role
We are looking for a Principle ML engineer to join the Teamwork Graph team and a group of talented engineers who are responsible for helping build and deploy the knowledge graph of how teams work together. The graph is the foundational data layer Teamwork Graph logically representing all of a customer's data, with edges/relationships to connect entities across feature and product boundaries. The Graph powers various new AI products such as Rovo, as well as enables Atlassian products to work better together. Checkout this clip from the recent founder keynote for more details. You will work closely with the team to execute the strategy for advanced graph querying and powering a suite of Graph + AI powered applications and experiences. You will also collaborate with the federated product teams and other central orgs to integrate the Teamwork knowledge deeply in various products such as Search, Jira, Confluence, and many upcoming ones.
Responsibilities:

  • Process and structure large amounts of graph data to power applications across Atlassian
  • Build great APIs
  • Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.


Experience:

  • 10+ years of experience building and scaling business applications and systems using large amounts of data
  • Built generalizable platforms with a keen eye on empowering applications in product
  • Agile development mindset, appreciating the benefit of iteration and improvement
  • Experience working with LLMs and RAG a bonus


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.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
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

Similar Jobs at Atlassian

Yesterday
Remote
San Francisco, CA, USA
190K-306K Annually
Senior level
190K-306K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Machine Learning Engineering Manager, you will lead a team developing and deploying machine learning models, collaborate with product and analytics teams, and oversee the design of system architectures and model evaluations. You will ensure AI's potential is leveraged across Atlassian's products and provide mentorship to emerging ML engineers.
2 Days Ago
Remote
Mountain View, CA, USA
243K-407K Annually
Senior level
243K-407K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead optimization and enhancement of large language models (LLMs), collaborate with teams to ensure model performance, and mentor other engineers in a fast-paced environment.
Top Skills: AWSAzureGCPJaxPythonPyTorchTensorFlow
2 Days Ago
Remote
Mountain View, CA, USA
146K-235K Annually
Senior level
146K-235K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Machine Learning Engineer, you will develop and implement machine learning algorithms, train models, and collaborate with teams to integrate AI functionalities in Atlassian products. You will also design architectures, conduct experiments, and mentor junior engineers while focusing on practical business applications of AI solutions.

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