Principal Machine Learning System Engineer - Da...

@ Atlassian

Overview

Working at Atlassian offers flexible work arrangements. Atlassians can choose to work in the office, from home, or a combination of the two. Interviews and onboarding are virtual.

Responsibilities

The Principal Machine Learning System Engineer - Data Engineering will:

• Lead design, development, and deployment of scalable data and ML pipelines for search.
• Architect and optimize data infrastructure for large-scale, high-velocity data.
• Develop and productionize ML models for search ranking, relevance and personalization.
• Drive best practices for data quality, governance, reproducibility, and operational excellence.
• Collaborate with data scientists, engineers, and product managers to define data schemas and metrics.
• Mentor engineers and raise technical excellence across teams.
• Champion MLOps and DataOps for streamlined model deployment and monitoring.
• Improve experimentation velocity through frameworks, A/B testing, and rapid iteration.

Qualifications

• Master or PhD in a quantitative subject or relevant work experience.
• 5+ years of industry experience in data science and engineering.
• Expertise in Python or Java, SQL, Spark, and cloud environments (e.g., AWS, Databricks).
• Experience in building production-level data pipelines and ML models in search applications.
• Ability to communicate complex concepts and focus on actionable business outcomes.
• Agile development mindset with emphasis on continuous iteration and improvement.

Compensation & Benefits

The role offers a competitive base pay range (188,100 - 245,575 CAD) along with comprehensive benefits including health and wellbeing resources, paid volunteer days, and more. Additional details can be found at Atlassian Perks and Benefits.

Key skills/competency

Machine Learning, Data Engineering, Python, Java, SQL, Spark, AWS, Databricks, MLOps, DataOps