Principal Machine Learning Engineer - Search & Intelligence

AtlassianMountain View, CA
$196,461 - $309,025Hybrid

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. 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 join our Search & Intelligence organization. The team builds Atlassian’s flagship AI products, including agentic search and chat, long-horizon agents, and capabilities that enrich Atlassian’s Teamwork Graph. We also develop the frameworks, models, and infrastructure that accelerate AI feature development across the company.

Requirements

  • A bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.
  • At least five years of relevant industry experience in machine learning, data science, or a related discipline.
  • Strong programming skills in Python and one or more production languages such as Java, Kotlin, or TypeScript.
  • Proficiency in SQL and experience with Spark and cloud-based data environments such as AWS or Databricks.
  • Experience building, deploying, and scaling machine learning models for business applications using large, complex datasets.
  • Strong communication skills, including the ability to explain data science concepts to diverse audiences and tell compelling, data-driven stories.
  • A pragmatic, business-focused approach. You hold a high bar for quality while applying the 80/20 principle and recognizing when delivering a valuable solution today is better than pursuing perfection later.
  • An agile mindset and an appreciation for continuous iteration, learning, and improvement.

Nice To Haves

  • Experience fine-tuning, post-training, and optimizing state-of-the-art large language models, embedding models, and ranking models.
  • Experience developing and evaluating advanced agentic AI systems, including tool-using agents capable of planning, multi-step reasoning, and autonomous task execution.
  • Experience working in consumer or B2C environments, SaaS, or enterprise and B2B products.
  • A track record of solving ambiguous and complex problems by navigating uncertainty, breaking challenges into manageable components, and developing innovative, practical solutions.

Responsibilities

  • Lead the development and implementation of cutting-edge machine learning algorithms and sophisticated models that power AI capabilities across Atlassian’s products and services.
  • Collaborate closely with product, engineering, and analytics teams to translate complex business and customer needs into impactful solutions.
  • Design system and model architectures.
  • Lead rigorous experimentation and evaluation.
  • Provide technical mentorship to emerging ML engineers.
  • Help shape our AI strategy and ensure its transformative potential is realized across Atlassian.

Benefits

  • health and wellbeing resources
  • paid volunteer days
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