Principal Machine Learning Engineer

AtlassianMountain View, CA
114d$232,200 - $303,150

About The Position

Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work. We are looking for a Principal Machine Learning Engineer to become a part of our Central AI organization. This team is responsible for creating Atlassian's leading AI products, essential infrastructures, data pipelines, frameworks, models, and other capabilities that accelerate AI feature development across the entire company.

Requirements

  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).
  • 5+ years of related industry experience in the data science domain.
  • Expertise in Python or Java with the ability to write performant production-quality code.
  • Familiarity with SQL and 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.
  • Focus on business practicality and the 80/20 rule.
  • Agile development mindset, appreciating the benefit of constant iteration and improvement.

Nice To Haves

  • 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.

Responsibilities

  • Drive the development and implementation of cutting edge machine learning algorithms.
  • Train sophisticated models and collaborate with product, engineering, and analytics teams.
  • Build AI functionalities into each Atlassian product and service.
  • Design system and model architectures.
  • Conduct rigorous experimentation and model evaluations.
  • Provide guidance to emerging ML engineers.
  • Ensure AI's transformative potential is realized across our offerings.

Benefits

  • Health and wellbeing resources.
  • Paid volunteer days.
  • Equitable, explainable, and competitive compensation programs.
  • Eligibility for benefits, bonuses, commissions, and equity.
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