Senior Machine Learning Engineering Manager - Knowledge Graph

Overview

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.

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowledge Graph Team, which plays a pivotal role in supporting search, chat, and agent functionalities. This is a unique opportunity to drive innovation and deliver impactful machine learning solutions that enhance user experiences across Atlassian's products.

Large Language Models (LLMs) will be central to this mission, as they enhance the construction and utility of knowledge graphs. LLMs can automatically extract entities, detect relationships from unstructured text, and integrate data from diverse sources, resulting in comprehensive and unified knowledge graphs. By improving semantic search capabilities, LLMs ground searches to the knowledge graph, reducing hallucinations and significantly boosting the relevance of results. These advancements are critical for powering intelligent, context-aware functionalities that drive productivity and user satisfaction across Atlassian’s suite of tools.

Responsibilities

Lead and Manage the Team:

• Oversee a team of machine learning engineers, fostering a culture of innovation, collaboration, and excellence.

• Mentor and coach team members on best practices, technical skills, and career development.

• Hire, onboard, and retain top talent to build a high-performing team.

Drive Machine Learning Initiatives:

• Manage the end-to-end machine learning lifecycle, including data collection, preprocessing, model development, deployment, and monitoring.

  • Research and implement novel machine learning techniques to improve the performance, scalability, and robustness of search, chat, and agent systems.

  • Collaborate with product managers, data scientists, and other stakeholders to align machine learning solutions with business goals.

Strategic Execution:

• Define and execute the vision and strategy for the Knowledge Graph Team.

  • Influence the strategic direction of machine learning initiatives across Atlassian's products.

  • Ensure timely delivery of high-quality solutions that meet customer needs.

Cross-Functional Collaboration:

• Work closely with the AI platform team, federated product teams, and other engineering teams to integrate machine learning solutions seamlessly.

  • Communicate effectively with internal and external partners, presenting technical concepts and results clearly.

Qualifications

Experience:

• 5+ years of experience managing machine learning engineering teams.

  • Proven track record of building and scaling machine learning models in business applications using large datasets.

  • Experience with knowledge graph technologies, search algorithms, or conversational AI is a plus.

  • Strong technical expertise in machine learning, data science, and system design.

  • Excellent communication skills to explain complex concepts to diverse audiences.

  • Agile mindset with a focus on iterative development and continuous improvement.

  • A Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.

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.