Principal Machine Learning Systems Engineer - Search & Intelligence

What you'll do

• Design system and model architectures, and lead development of machine learning algorithms and models.
• Lead experimentation and evaluation, collaborating with product, engineering, and analytics teams to address business and customer needs.
• Mentor ML engineers and help shape Atlassian’s AI strategy.

What they ask for

• 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 Python skills and one or more production languages such as Java, Kotlin, or TypeScript; proficiency in SQL and experience with Spark and AWS or Databricks.
• Experience building, deploying, and scaling machine learning models for business applications using large, complex datasets.

Nice to have

• Experience fine-tuning, post-training, and optimizing large language, embedding, and ranking models.
• Experience developing and evaluating advanced agentic AI systems, including tool-using agents.

Pay

$236,700 - $309,025 USD base salary; $213,030 - $278,123 USD base salary; $196,461 - $256,491 USD base salary

Tools

Python, Java, Kotlin, TypeScript, SQL, Spark, AWS, Databricks

AI focus

Builds AI products and capabilities, including agentic search and chat, long-horizon agents, and Teamwork Graph enrichment; develops ML models and infrastructure, with optional work on LLMs and agentic AI systems.