Principal Machine Learning Engineer

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.

About ITSM Team

IT Service Management (ITSM) is one of the fastest growing products of Atlassian. Through this solution, we are helping technical and non-technical teams centralize and streamline service requests, respond to incidents, collect and maintain knowledge, manage assets and configuration items, and more. Specifically this team within ITSM works on using cutting-edge AI and machine learning algorithms to automate IT operational tasks, troubleshoot problems, and reduce mental overload for oncall engineers and alike. By weaving Generative AI into our product we revolutionise AIOps by moving from a traditional reactive troubleshooting-based system to a proactive problem-solving approach. Our AI models are designed to evolve over time through continuous learning making them more robust, accurate, and resilient.

Responsibilities

What you will do

As a Principal Engineer on the ITSM team, you will get the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI ( Mean time to identify). You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges.

You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input, and communicate results

In this role, you'll get the chance to:

• First and foremost, work with a distributed, world-class team shaping the future of AIOps. You will be at the forefront of innovation, shaping the next generation of enAI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers

• Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans

• Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, constructing algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance

• Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise

• Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward.

• Routinely tackle complex architectural challenges, spar with other principal engineers to build ML pipelines and models that scale for thousands of customers

• Develop leadership skills: You'll have the opportunity to mentor junior engineers, guide projects, and partner across engineering teams to take on company-wide initiatives spanning multiple projects. This is an extremely high-visibility role

• Our tech stack is primarily Python/Java/Kotlin built on AWS.

Qualifications

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

• 10+ years of total experience

• Fluency in atleast 1 scripting, OOP language

• Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP.

• Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas

• Good Understanding of Machine Learning project lifecycle

• Familiarity with MLOps and experience with scaling and deploying Machine Learning models

It would be great, but not required if you have

• Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks).

• Experience with MLOps tools (MLflow, Tecton, Pinecone, Feature Stores)

• Experience with AIOps or related fields like IT automation or incident management.

• Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).

• 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/perksandbenefits to 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.