Senior Machine Learning Engineer, Search & Intelligence

Atlassian
Seattle, San Francisco, Mountain View
Workplace: RemoteFull timeUSD 171,063 - 269,075 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Communication","Collaboration","Technical leadership","Experimentation","Continuous improvement"]

Lead end-to-end development and productionization of machine learning systems that improve how people discover and act on knowledge across Atlassian. Own the full ML lifecycle—from problem definition and data exploration through model development, experimentation, evaluation, deployment, and ongoing optimization. Build scalable data/model approaches using large datasets and design robust architectures for quality, latency, and reliability while collaborating across product, engineering, analytics, and data science teams.

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FursaFursa
Atlassian
Atlassian
1 day ago

Senior Machine Learning Engineer, Search & Intelligence

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead end-to-end development and productionization of machine learning systems that improve how people discover and act on knowledge across Atlassian. Own the full ML lifecycle—from problem definition and data exploration through model development, experimentation, evaluation, deployment, and ongoing optimization. Build scalable data/model approaches using large datasets and design robust architectures for quality, latency, and reliability while collaborating across product, engineering, analytics, and data science teams.
Location: Seattle, San Francisco, Mountain View
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the design, development, and implementation of state-of-the-art machine learning algorithms and models for production environments.
  • •Own machine learning projects from initial concept through production deployment, measurement, and continuous improvement.
  • •Develop scalable data and modeling approaches using large, complex datasets.
  • •Design robust system and model architectures meeting requirements for quality, latency, scale, reliability, privacy, and cost.
  • •Collaborate across product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products and services.

Pay and Benefits

Salary: USD 171,063 - 269,075 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science (or equivalent practical experience).
  • •At least 5 years of professional experience developing and deploying machine learning or data science solutions in production.
  • •Strong programming skills in Python and one or more production languages such as Java, Kotlin, or TypeScript.
  • •Strong knowledge of SQL and experience with large-scale data processing technologies such as Spark.
  • •Experience designing, training, evaluating, deploying, and scaling machine learning models using large and complex datasets.
Experience:5+ yearsMachine learningData scienceSearchRecommendationPersonalizationNatural language processingLarge language modelsSaaSB2CEnterprise B2BResponsible AI
Education:Master's
Skills:CommunicationCollaborationTechnical leadershipExperimentationContinuous improvement
Tech Stack:PythonJavaKotlinTypeScriptSQLSparkAWSDatabricksLarge language modelsInformation retrievalSearch rankingNatural language processing

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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