Senior Machine Learning Engineering Manager

24 hours ago


San Francisco, California, United States Atlassian Full time
About the Role

At Atlassian, we're seeking a highly skilled Senior Machine Learning Engineering Manager to join our Central AI team. As a key member of our engineering leadership team, you will be responsible for leading a group of talented engineers who are responsible for creating and deploying state-of-the-art machine learning models and algorithms.

Key Responsibilities
  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring.
  • Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our AI models and systems.
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
  • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.
Requirements
  • Master or PhD in a quantitative subject (Computer Science, Operations Research, or relevant work experience).
  • 5+ years of experience managing software engineering teams running core services at scale.
  • Experience building and scaling machine learning models in business applications using large amounts of data.
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story.
  • Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'.
  • Agile development mindset, appreciating the benefit of constant iteration and improvement.


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