Senior Engineer - Machine Learning

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

About JSM Team

Jira Service Management is one of the marquee 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 JSM works on using assitive AI to automate IT operational tasks, troubleshoot problems, and reduce mental overload for oncall engineers and alike. By weaving these capabilities into our product we revolutionise AIOps by moving from a traditional reactive troubleshooting-based system to a proactive problem-solving approach

What you will do

As a Principal Engineer on the JSM 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.

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

• Shape the future of AIOps: Be at the forefront of innovation, shaping the next generation of AI-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, building 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 principal engineers to build ML pipelines and models that scale for thousands of customers

• Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems

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

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

• Fluency in Python

• 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

• Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models )

• 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 OpenAI LLMs.

Qualifications

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $199,400 - $265,800

Zone B: $179,400 - $239,200

Zone C: $165,500 - $220,600

This rol