Atlassian
Principle Machine Learning Engineer - Teamwork Graph
Atlassian, San Francisco, California, United States, 94199
Join to apply for the
Principle Machine Learning Engineer -- Teamwork Graph
role at
Atlassian Join to apply for the
Principle Machine Learning Engineer -- Teamwork Graph
role at
Atlassian Get AI-powered advice on this job and more exclusive features. 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. Overview
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 customers 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
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
Qualifications
Compensation
Skills
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: $232,200 - $303,150
Zone B: $209,700 - $273,775
Zone C: $193,500 - $252,625
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit 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 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
.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
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Principle Machine Learning Engineer -- Teamwork Graph
role at
Atlassian Join to apply for the
Principle Machine Learning Engineer -- Teamwork Graph
role at
Atlassian Get AI-powered advice on this job and more exclusive features. 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. Overview
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 customers 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
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
Qualifications
Compensation
Skills
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: $232,200 - $303,150
Zone B: $209,700 - $273,775
Zone C: $193,500 - $252,625
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit 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 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
.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Software Development Referrals increase your chances of interviewing at Atlassian by 2x Get notified about new Machine Learning Engineer jobs in
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San Francisco, CA $151,000.00-$190,000.00 1 month ago Machine Learning Scientist (Staff / Sr Staff) - Power Markets
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San Francisco, CA $175,000.00-$250,000.00 3 weeks ago San Francisco, CA $220,000.00-$258,000.00 2 days ago San Francisco, CA $185,000.00-$285,000.00 3 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr