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Principle Machine Learning Engineer
Principle Machine Learning EngineerAtlassian • San Francisco, CA, United States
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Principle Machine Learning Engineer

Principle Machine Learning Engineer

Atlassian • San Francisco, CA, United States
26 days ago
Job type
  • Full-time
Job description

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.

Responsibilities 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 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 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 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 .

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    Machine Learning Engineer • San Francisco, CA, United States

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