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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.
Job Responsibility:
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
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
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
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.
Requirements:
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.
Nice to have:
Experience with knowledge graph technologies, search algorithms, or conversational AI.
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