Job Details

Overview

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. At 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 Central AI organization. This team is responsible for creating Atlassian's leading AI products, essential infrastructures, data pipelines, frameworks, models, and other capabilities that accelerate AI feature development across the entire company.

Working at Atlassian

Atlassians can choose where they work – in an office, from home, or a combination of the two. We hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually as part of being a distributed-first company.

Responsibilities

What you'll do

As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will include designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks to ensure AI's transformative potential is realized across our offerings.

Qualifications

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

• Bachelor's or Master's degree (preferably in Computer Science or equivalent experience)
• 5+ years of related industry experience in the data science domain
• Expertise in Python or Java with 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
• Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
• Focus on business practicality and the 80/20 rule; 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

Nice to Have

• Experience in consumer/B2C SaaS or enterprise/B2B space
• Experience in developing deep learning-based models and working on LLM-related applications
• Ability to navigate ambiguous problems, breaking them down into manageable components and developing innovative solutions

Compensation

At Atlassian, we design equitable, explainable, and competitive compensation programs. The baseline of our range is higher than the typical market range, with actual base pay determined by skills, expertise, or experience. In the United States, there are three geographic pay zones. Base pay ranges for new hires in this role are:

• Zone A: $232,200 - $303,150
• Zone B: $209,700 - $273,775
• Zone C: $193,500 - $252,625

This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each pay zone, and confirm your zone with your recruiter.

Benefits & Perks

At Atlassian offers a wide range of perks and benefits designed to support you, your family, and your community. Our offerings include health and wellbeing resources, paid volunteer days, and more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams worldwide, and our solutions are designed for all types of work. We believe that the unique contributions of all Atlassians create our success. We do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. All your information will be kept confidential according to EEO guidelines. We can provide accommodations or adjustments at any stage of the recruitment process upon request. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Software Development