Your future team

The Core Machine Learning team sits within the Data Technology Insights group in the Atlassian Corporate Engineering Organization. We work cross-functionally across stakeholders in Growth, GTM, Product, Finance and Sales organizations, providing AIML applications. Our team consists of ML engineers and system engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. We are highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact.

‍

‍

What you’ll do

As a Machine Learning Engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large scaled recommendation system to recommend the best growth drivers and actions to our customers. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. Your role is pivotal, stretching beyond these tasks, ensuring AI/ML's transformative potential is realized across our offerings.

‍

‍

Your background

On the first day, we'll expect you to have

• Master or PhD in a quantitative subject (Mathematics, Computer Science, Statistics, Operations Research, or relevant work experience)
• 3+ years of Experience in 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
• Agile development mindset, appreciating the benefit of constant iteration and improvement

‍

‍

It's great, but not required, if you have

• Experience in developing recommendation algorithms and AI applications for Sales
• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
• Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

‍