Job Description
Job Overview
As a Principal Machine Learning Engineer at Atlassian, you will work on cutting-edge AI and ML algorithms aimed at modernizing IT Operations. This role involves tackling complex infrastructure challenges, leading teams, and collaborating with various stakeholders to enhance IT service management through advanced technical solutions. Your contributions will directly influence the reliability and performance of Atlassian's software, driving customer satisfaction and business success.
Technical Requirements
Required Skills
- • Fluency in at least 1 scripting or OOP language
- • Solid understanding of machine learning concepts and algorithms
- • Familiarity with popular ML libraries like scikit-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
Preferred Skills
- • 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
- • Experience building and operating large-scale distributed systems using AWS
- • Experience with using LLMs
Experience Level
10+ years of total experience
Responsibilities
- • Lead engineers to drive involved projects from technical design to launch
- • Collaborate with other teams and internal customers to set expectations and communicate results
- • Construct algorithms that analyze data to uncover hidden patterns and optimize system performance
- • Mentor junior engineers and guide projects across engineering teams
- • Build ML pipelines and models that scale for thousands of customers
Benefits & Perks
- • Health coverage
- • Paid volunteer days
- • Wellness resources
Additional Information
- Location
-
Sydney, Australia | Remote
- Type
-
Full-Time
- Compensation
-
Not specified