Senior Machine Learning Systems Engineer

Atlassian
Sydney, Melbourne, Brisbane, Auckland
Workplace: RemoteFull timeFunction: IT Operations (Systems/Network Admin)Skills: ["Problem-solving","Collaboration","Documentation"]

Build and refine core machine learning infrastructure for Atlassian’s AI & ML Platform team, enabling engineers and data scientists to create, train, evaluate, deploy, and operate ML models and pipelines. Design scalable, fault-tolerant distributed systems; own end-to-end ML lifecycle capabilities; and develop MLOps automation for continuous training, deployment, and monitoring. Collaborate with product teams to deliver AI features used by millions of customers.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Atlassian
Atlassian
1 hour ago

Senior Machine Learning Systems Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and refine core machine learning infrastructure for Atlassian’s AI & ML Platform team, enabling engineers and data scientists to create, train, evaluate, deploy, and operate ML models and pipelines. Design scalable, fault-tolerant distributed systems; own end-to-end ML lifecycle capabilities; and develop MLOps automation for continuous training, deployment, and monitoring. Collaborate with product teams to deliver AI features used by millions of customers.
Location: Sydney, Melbourne, Brisbane, Auckland
Workplace: Remote
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)
Seniority: Mid level

Key Responsibilities

  • •Develop and refine core ML infrastructure, enabling ML model and pipeline creation, training, evaluation, deployment, and operations.
  • •Design and build scalable, fault-tolerant, high-performance distributed systems for machine learning.
  • •Deliver end-to-end ML lifecycle capabilities, including data engineering, model serving, and monitoring.
  • •Implement MLOps automation and CI/CD pipelines for continuous training, deployment, and monitoring.
  • •Collaborate with product teams (e.g., Jira and Confluence) to solve ML solution challenges and mentor junior team members.

Key Requirements

  • •5+ years of experience building Machine Learning and AI infrastructure, platform, or systems.
  • •Proven end-to-end ML lifecycle experience, from data engineering through model serving and monitoring.
  • •Extensive experience designing and building scalable, fault-tolerant, high-performance distributed systems for ML.
  • •Good proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • •Experience implementing MLOps practices, including CI/CD pipelines and automation for continuous training, deployment, and monitoring.
Skills:Problem-solvingCollaborationDocumentation
Tech Stack:PythonPyTorchTensorFlowJAXGoJavaScalaAWSGCPAzureGPUsSparkRayDaskCI/CDMLOpsLLMsRAG

Company Brief

Atlassian
Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2002
Glassdoor
Glassdoor: 3.1
WebsiteLinkedInGlassdoor