Multiple employees collaborating on work
Atlassian Logo

Atlassian

Principle Machine Learning Engineer -- Teamwork Graph

Posted 5 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in Mountain View, CA
Expert/Leader
Remote
Hiring Remotely in Mountain View, CA
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 .

Top Skills

Machine Learning

Similar Jobs at Atlassian

20 Hours Ago
Remote
Mountain View, CA, USA
Senior level
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.
Top Skills: JavaPython
23 Hours Ago
Remote
Mountain View, CA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Senior Manager - Finance Data and Analytics will lead projects to create scalable data solutions, provide insights, and enhance financial forecasting. Responsibilities include technical leadership, establishing metrics and benchmarks, engaging cross-functionally, and generating insights for senior executives.
Top Skills: PythonRSQL
2 Days Ago
Remote
San Francisco, CA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Principal Machine Learning Engineer, you will develop and implement advanced machine learning algorithms, train models, and collaborate with various teams to integrate AI functionalities into Atlassian products. You will also design architectures, conduct experimentation, and mentor emerging ML engineers, ensuring the transformative potential of AI is realized.
Top Skills: JavaPython

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account