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Senior Principal Machine Learning Systems Engineer

https://www.atlassian.com Logo

Atlassian

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Location:
United States, Seattle

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

243100.00 - 407200.00 USD / Year

Job Description:

Atlassian is seeking a Senior Principal Machine Learning Engineer to join our Central AI organization. The Central AI organization develops the foundational infrastructure, data pipelines, frameworks, models, Gen AI and other capabilities to expedite AI feature development throughout the entire company.

Job Responsibility:

  • Steer the development and deployment of advanced machine learning algorithms and system architecture
  • Train complex models
  • Work in close collaboration with product, backend/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service
  • Design system and model architectures
  • Conduct meticulous experimentation and model evaluations
  • Mentor budding ML engineers
  • Harness the transformative power of AI across our product suite

Requirements:

  • Master’s degree or equivalent practical experience
  • 10+ years of related industry experience in AI/machine learning domain
  • Expertise in Python or Java with the ability to write performant production-quality code
  • familiarity with SQL
  • knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • 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

Nice to have:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field
  • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
  • Experience in developing deep learning-based models and working on LLM-related applications
  • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
What we offer:
  • Health coverage
  • Paid volunteer days
  • Wellness resources

Additional Information:

Job Posted:
April 23, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
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