Atlassian

1 day ago

Principal Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead the technical direction for AI built and shipped across Jira Service Management, designing and improving multi-step LLM pipelines that power enterprise service experiences. Build retrieval and grounding systems to surface the right context, and own quality, latency, cost, and reliability for AI workflows at scale. Define evaluation frameworks and experiments to measure real impact, while setting multi-quarter ML strategy and mentoring ML engineers across teams.

Location: Bengaluru

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Set technical direction for how AI is built and shipped across Jira Service Management.
•Design and continuously improve multi-step LLM pipelines, including prompting strategies, model selection, output parsing, and orchestration.
•Build retrieval and grounding systems that surface relevant context (e.g., knowledge articles, past requests, structured data, tool outputs).
•Own quality, latency, cost, and reliability of AI workflows, and make quality measurable via evaluation frameworks and scoring methods.
•Run disciplined experiments to validate impact, set multi-quarter ML strategy across teams, and mentor and grow emerging ML engineers.

Key Requirements

•10+ years total experience with 5+ years in MLE/data science, plus fluency in Python.
•Strong understanding of supervised/unsupervised learning, deep learning, and NLP.
•Familiarity with ML libraries including scikit-learn, Keras/TensorFlow/PyTorch, numpy, and pandas.
•Experience designing LLM-based pipelines (prompting strategies, model selection, output parsing, orchestration) and building retrieval/grounding systems (e.g., RAG).
•Experience architecting high-performance RESTful microservices for ML models and scaling/operating deployments in production with MLOps.

Experience:10+ yearsMachine learningData science

Skills:Agile mindsetMentorshipProblem-solvingIteration

Tech Stack:PythonMachine learningNLPScikit-learnKerasTensorFlowPyTorchNumpyPandasLLMDeep learningRAGMLOpsRESTful microservicesMicroservicesPromptingEvaluation frameworksBenchmark datasets

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: 3.1

Website LinkedIn Glassdoor

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Atlassian

1 day ago

Principal Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Set technical direction for how AI is built and shipped across Jira Service Management.
•Design and continuously improve multi-step LLM pipelines, including prompting strategies, model selection, output parsing, and orchestration.
•Build retrieval and grounding systems that surface relevant context (e.g., knowledge articles, past requests, structured data, tool outputs).
•Own quality, latency, cost, and reliability of AI workflows, and make quality measurable via evaluation frameworks and scoring methods.
•Run disciplined experiments to validate impact, set multi-quarter ML strategy across teams, and mentor and grow emerging ML engineers.

Key Requirements

•10+ years total experience with 5+ years in MLE/data science, plus fluency in Python.
•Strong understanding of supervised/unsupervised learning, deep learning, and NLP.
•Familiarity with ML libraries including scikit-learn, Keras/TensorFlow/PyTorch, numpy, and pandas.
•Experience designing LLM-based pipelines (prompting strategies, model selection, output parsing, orchestration) and building retrieval/grounding systems (e.g., RAG).
•Experience architecting high-performance RESTful microservices for ML models and scaling/operating deployments in production with MLOps.

Experience:10+ yearsMachine learningData science

Skills:Agile mindsetMentorshipProblem-solvingIteration

Tech Stack:PythonMachine learningNLPScikit-learnKerasTensorFlowPyTorchNumpyPandasLLMDeep learningRAGMLOpsRESTful microservicesMicroservicesPromptingEvaluation frameworksBenchmark datasets

Company Brief

Atlassian

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: 3.1

Website LinkedIn Glassdoor