Senior Machine Learning System Engineer

Atlassian
Seattle, San Francisco
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Collaboration","Mentoring","Problem-solving","Technical design","Performance optimization","Code reviews","Documentation"]

Build and evolve core AI/ML infrastructure that enables Atlassian engineers, ML engineers, and data scientists to develop, train, evaluate, deploy, and operate machine learning models and pipelines. Work with product teams like Jira and Confluence to deliver reliable AI capabilities, including dataset curation, LLM fine-tuning, and GenAI systems such as RAG. Lead projects from technical design through launch, while contributing to code reviews, documentation, and mentoring.

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FursaFursa
Atlassian
Atlassian
3 days ago

Senior Machine Learning System Engineer

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

Job Summary

Build and evolve core AI/ML infrastructure that enables Atlassian engineers, ML engineers, and data scientists to develop, train, evaluate, deploy, and operate machine learning models and pipelines. Work with product teams like Jira and Confluence to deliver reliable AI capabilities, including dataset curation, LLM fine-tuning, and GenAI systems such as RAG. Lead projects from technical design through launch, while contributing to code reviews, documentation, and mentoring.
Location: Seattle, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and refine core ML infrastructure for building, training, evaluating, deploying, and managing machine learning models and pipelines.
  • •Collaborate with product teams (e.g., Jira and Confluence) to solve ML solution challenges, including dataset curation and fine-tuning LLMs.
  • •Lead projects from technical design through launch, partnering with stakeholders across teams.
  • •Deliver AI solutions used by other Atlassian teams and products at large scale for millions of customers.
  • •Provide code reviews, documentation, and bug fixes, and mentor junior team members.

Key Requirements

  • •5+ years of experience building machine learning and AI infra/platform/system.
  • •End-to-end expertise in the ML lifecycle, including developing, deploying, and maintaining ML systems from data engineering through model serving and monitoring.
  • •Extensive experience designing and building scalable, fault-tolerant, high-performance distributed ML systems.
  • •Deep experience implementing MLOps and automation, including CI/CD pipelines for continuous training, deployment, and monitoring.
  • •Expert proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX; plus hands-on cloud experience (AWS, GCP, or Azure) and distributed data processing (Spark, Ray, or Dask).
Experience:5+ yearsMachine learningAIMLOpsDistributed systemsGenAI
Skills:CollaborationMentoringProblem-solvingTechnical designPerformance optimizationCode reviewsDocumentation
Tech Stack:PythonPyTorchTensorFlowJAXGoJavaScalaAWSGCPAzureGPUsSparkRayDaskMLOpsCI/CDLLMsGenAIRAGRetrieval-augmented generation

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
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