The Principle Machine Learning Engineer will develop and deploy a knowledge graph, manage large datasets, build APIs, and utilize AI for product enhancements while mentoring team members.
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:
Experience:
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 .
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
APIs
Generative Ai
Graph Data
Large Scale Data Processing
Machine Learning
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The role involves leading software development projects, solving complex architecture challenges, mentoring junior engineers, and setting standards for code quality.
Top Skills:
AWSAzureGCPGoJavaKotlinNode.jsPythonScala
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Full Stack Software Engineer, you will guide technical projects, ensure code quality, collaborate with teams, mentor peers, and enhance product features.
Top Skills:
AngularjsChaiCSSCypressGraphQLHTML5JavaJavaScriptJestMochaNode.jsReactRest ApisSQLVue
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Principal Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with teams, and guide emerging engineers to integrate AI across Atlassian products and services.
Top Skills:
AWSDatabricksJavaPythonSparkSQL
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.