Senior Principal Machine Learning Engineer

$263,700 - $351,500/Yr

Atlassian - Mountain View, CA

Full-time - Senior

Mountain View, CA

Publishing Industries

About the position

Atlassian is looking for a Senior Principle Machine Learning Engineer to join us on our journey as we redefine productivity and collaboration in the digital age. As a Senior Principle Machine Learning Engineer, you will be the driving force in integrating cutting-edge AI capabilities within Atlassian products. Your work will transform the way teams interact with our products like Jira and Confluence as we look to extract knowledge and insights from data to propel teamwork forward. In this role, you will engage in AI-Powered Atlassian Integration by crafting and implementing innovative machine learning models in Atlassian tools. Imagine creating a smart Jira agent that can automatically categorize tickets based on content, or a Confluence assistant that summarizes documents and suggests related topics. You will dive deep into vast datasets to extract meaningful insights, powering AI models to understand complex user interactions and content within Atlassian tools. Your responsibilities will also include robust model development, where you will design, build, and refine models that can accurately perform tasks such as topic and entity extraction at scale. Picture a world where AI can automatically suggest experts within a team that can help move work forward. Collaboration is key; you will join forces with product managers, designers, and developers to ensure that AI features are not only powerful but also intuitive and user-friendly. As an AI Evangelist, you will be the voice of AI within the team, educating and inspiring your colleagues about the potential of AI, leading workshops and knowledge-sharing sessions. This role is pivotal in shaping the future of Atlassian products and enhancing the productivity of teams globally.

Responsibilities

• Develop and implement machine learning algorithms to enhance our products
• Design and implement scalable data processing and machine learning pipelines
• Collaborate with product, engineering, and data teams to identify machine learning opportunities
• Evaluate and improve the performance of machine learning models
• Stay up-to-date with the latest developments in machine learning research and apply them to real-world problems
• Write clean, scalable, and maintainable code
• Communicate technical concepts and ideas to both technical and non-technical stakeholders
• Share knowledge by giving brown bag sessions, tech talks, and evangelizing appropriate tech and engineering best practices
• Mentor other team members, facilitate within/across team workshops, and lead agile development.

Requirements

• Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
• 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring
• Be motivated, and self-driven in a fast-paced environment with a proven track record demonstrating impact across several teams and/or organizations
• Ability to communicate and collaborate effectively with stakeholders and manage tasks in a timely manner
• Ideas, opinions, and the ability to share them through respectful proposals, presentations, and team-wide discussions
• An eagerness to work and learn in the open and share your learnings with your teammates.

Benefits

• Competitive compensation programs
• Eligibility for bonuses, commissions, and equity