Machine Learning Platform Engineer

Atlassian
Sydney, Singapore
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 2+ yearsSkills: ["Problem-solving","Technical design","Mentoring","Collaboration"]

Build and refine core AI/ML platform infrastructure that enables Atlassian teams to create, train, evaluate, deploy, and manage machine learning models and pipelines. Design scalable distributed systems, deliver MLOps and CI/CD automation for continuous training and monitoring, and optimize ML infrastructure performance. Collaborate with product teams (e.g., Jira/Confluence) on ML solutions, including dataset curation, LLM fine-tuning, and RAG systems, while mentoring and improving engineering practices.

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FursaFursa
Atlassian
Atlassian
3 days ago

Machine Learning Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and refine core AI/ML platform infrastructure that enables Atlassian teams to create, train, evaluate, deploy, and manage machine learning models and pipelines. Design scalable distributed systems, deliver MLOps and CI/CD automation for continuous training and monitoring, and optimize ML infrastructure performance. Collaborate with product teams (e.g., Jira/Confluence) on ML solutions, including dataset curation, LLM fine-tuning, and RAG systems, while mentoring and improving engineering practices.
Location: Sydney, Singapore
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Develop and refine AI/ML platform infrastructure for training, evaluation, deployment, and management of ML models and pipelines.
  • •Design and build scalable, fault-tolerant distributed systems for machine learning.
  • •Implement MLOps and CI/CD automation to support continuous training, deployment, and monitoring.
  • •Partner with product teams to deliver ML solutions, including dataset curation, fine-tuning open-sourced LLMs, and building RAG systems.
  • •Lead technical projects from design through launch, including code reviews, documentation, bug fixes, and mentoring junior team members.

Pay and Benefits

Perks:Paid Volunteer

Key Requirements

  • •2+ years building machine learning and AI infra/platform/system.
  • •Comprehensive end-to-end ML lifecycle experience, from data engineering through model serving and monitoring.
  • •Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX.
  • •Hands-on cloud expertise with AWS, GCP, or Azure, including AI/ML services and GPU compute.
  • •Experience with distributed data/compute frameworks such as Spark, Ray, or Dask, plus strong performance optimization skills.
Experience:2+ yearsMachine learningAI infrastructureMLOps
Skills:Problem-solvingTechnical designMentoringCollaboration
Tech Stack:PythonPyTorchTensorFlowJAXGoJavaScalaAWSGCPAzureGPUsSparkRayDaskMLOpsCI/CDAutomationLLMsRAGModel serving

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
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