Senior Machine Learning Engineering Manager - Knowledge Graph

Atlassian; United States; Hybrid; USD 190,000 - 306,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Manager to lead their Knowledge Graph Team. This pivotal role involves driving innovation and delivering impactful machine learning solutions that enhance user experiences across a suite of collaborative tools. You'll leverage Large Language Models to construct and refine knowledge graphs, ensuring intelligent functionalities that boost productivity. Join a forward-thinking company that values diversity and fosters an inclusive environment, where your contributions will make a significant impact on teams worldwide.

Benefits

Health Coverage

Paid Volunteer Days

Wellness Resources

Qualifications

• 5+ years managing machine learning engineering teams.
• Proven track record with large datasets in business applications.
• Strong technical expertise in machine learning and data science.

Responsibilities

• Lead the Knowledge Graph Team to drive innovation in machine learning.
• Enhance user experiences across Atlassian's products.
• Utilize LLMs to improve semantic search capabilities.

Skills

Machine Learning

Data Science

System Design

Knowledge Graph Technologies

Search Algorithms

Conversational AI

Excellent Communication

Agile Mindset

Education

Master’s or PhD in Computer Science

Master’s or PhD in Mathematics

Master’s or PhD in Statistics

Job description

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.

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/perksandbenefitsto 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.