Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is looking for a remote Principal Machine Learning Scientist to join our Core Machine Learning team. The Core Machine Learning team builds and deploys ML modeling solutions to increase revenue generation, expand our active user base and enhance internal productivity and efficiency. This is a unique opportunity to work in a collaborative environment and implement the latest machine learning techniques, including LLM (large language models).

Your future team

The Core Machine Learning team sits within the Data Science group in the Atlassian Corporate Engineering Organization. We work with several business teams in GTM, growth, product, and many other teams providing machine learning infrastructure and modeling applications. Our team consists of ML scientists and engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. The team is split geographically between the US and Australia, supporting partners across the regions.

You will report to the Core Machine Learning Senior Manager.

What you'll do

• As a Principal Machine Learning Scientist, you will lead the development of advanced machine learning algorithms, collaborating with business partners, engineering, and analytics teams to personalize the customer buyer journey across several touch points which include paid ads, SEO content, web pages and in-product experiences.
• You will lead Generative AI projects aimed at improving customer conversion funnels, streamlining content and creative creation processes, and developing self-serve tooling to empower Atlassian with valuable data insights.
• Explain data science concepts to non-technical, diverse audiences and create a compelling story.
• Be a tech lead for more junior Machine Learning Scientists, providing technical guidance.

Your background

• Master and above degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
• 5+ years of related industry experience in the machine learning domain
• Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, 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
• Experience building NLP related applications
• Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
• Agile development mindset, appreciating the benefit of constant iteration and improvement