Principal Machine Learning Engineer – Jira AI Full-time

Overview

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Responsibilities

• Regularly tackle the largest and most complex problems in the team, from technical design to launch.
• Work closely with Product, Engineering and Design leads in Jira AI, and translate their requirements into solid engineering deliverables, delegating work to the teams.
• Deliver solutions that are used by other teams and products.
• Follow a Product Engineer mindset by building features that are data-driven and customer-centric, fostering that culture within the Jira AI group.
• Routinely tackle complex architecture challenges and define architectural standards.
• Actively contribute to the code delivery through leading code reviews & documentation, direct contribution and fixing complex bugs in high-risk surface areas.
• Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
• Mentor junior members on the team.

Qualifications

On your first day, we’ll expect you to have:

• Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).
• Understanding of Machine Learning project lifecycle and tools.
• Experience in architecting and implementing high-performance RESTful microservices.
• Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).
• Experience with Continuous Delivery and Continuous Integration.

It would be great, but not required if you have:

• Expert-level SQL knowledge, query tuning, schema design, and ETL processes.
• Experience with Databricks or Apache Spark.
• Experience with Amazon Sagemaker.
• Experience with scaling and deploying Machine Learning models.
• Experience with using LLMs.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more.

About Atlassian

At Atlassian, we’re motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh