Atlassian - Seattle, WA

posted 29 days ago

Full-time - Principal
Seattle, WA
Publishing Industries

About the position

As a Principal Machine Learning Engineer at Atlassian, you will lead the development and implementation of advanced machine learning algorithms and models. Your role will involve collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian's products and services. You will be responsible for designing system architectures, conducting experiments, and mentoring junior ML engineers, ensuring that AI's transformative potential is fully realized across the company's offerings.

Responsibilities

  • Drive the development and implementation of cutting-edge machine learning algorithms.
  • Collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products.
  • Design system and model architectures for machine learning applications.
  • Conduct rigorous experimentation and model evaluations.
  • Provide guidance and mentorship to emerging ML engineers.

Requirements

  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research) or relevant work experience.
  • 5+ years of related industry experience in the data science domain.
  • Expertise in Python or Java and 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 datasets.
  • Ability to communicate and explain data science concepts to diverse audiences.

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.
  • Ability to solve ambiguous and complex problems and navigate uncertain situations.

Benefits

  • Health coverage
  • Paid volunteer days
  • Wellness resources
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