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Senior Machine Learning Engineering Manager

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Atlassian

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Location:
United States, Seattle

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The GenAI foundation and quality team sits within the Search and AI Conversation Group in the Atlassian Central AI Organization. We work cross-functionally across stakeholders in Growth, GTM, Product, Finance and Sales organizations, providing generative AI, machine learning infrastructure and modeling applications. Our team is highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact

Job Responsibility:

  • 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 Recommendation system, and other AI/ML models
  • 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, Mathematics, Statistics, Operations Research, or relevant work experience)
  • 5+ years of experience managing machine learning 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
What we offer:
  • Health and wellbeing resources
  • paid volunteer days
  • various perks and benefits to support you, your family, and engage with your local community

Additional Information:

Job Posted:
May 09, 2025

Work Type:
On-site work
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