Principal Machine Learning Engineer
Atlassian
Principal Machine Learning Engineer
Job Description
Principal Machine Learning Engineer
📋 Job Overview
As a Principal Machine Learning Engineer at Atlassian, you will influence AI product feature development and drive impactful change through data analysis and strategic recommendations. You will collaborate with cross-functional teams to solve business challenges, focusing on the Atlassian Intelligence suite, and use data to shape product development and quantify new opportunities.
📍 Location: Remote, India (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-11-06 01:43 PM
🎯 Key Responsibilities
- Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner
- Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges, especially focused on the Atlassian Intelligence suite of features
- Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
- Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations
- Partner with cross-functional teams to inform, influence, and execute strategy decisions
- Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
- Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
✅ Required Qualifications
- 8+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields
- Ability to craft analysis into well-written and persuasive content
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
- Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
- Familiarity with LLM or ML driven product algorithms and success metric selection and measurement
⭐ Preferred Qualifications
- Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features
- Understanding of the SaaS business model and key metrics
- Experience in building solutions to improve the software development process
🛠️ Required Skills
- Data Science
- Machine Learning
- Generative AI
- Quantitative Analysis
- Experimentation
- Data Presentation
- SQL
- Python
- R
- Statistical Concepts
- Regressions
- A/B Tests
- Clustering
- Probability
- Data Storytelling
- Data Visualization
- Tableau
- R-Shiny
- Microstrategy
- SAP Business Objects
- Looker
- LLM
- ML Driven Product Algorithms
- Success Metric Selection and Measurement
- Cross-functional Collaboration
- Strategic Partnership
- Hypothesis Development
- Analytical Approaches
- Methodologies
- Frameworks
- Technical Approaches
- Forecasting
- Monitoring
- Key Product Metrics
- Trend Analysis
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Locations
- Remote, India (Remote)
Salary
Estimated Salary Rangemedium confidence
4,000,000 - 6,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Scienceintermediate
- Machine Learningintermediate
- Generative AIintermediate
- Quantitative Analysisintermediate
- Experimentationintermediate
- Data Presentationintermediate
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Statistical Conceptsintermediate
- Regressionsintermediate
- A/B Testsintermediate
- Clusteringintermediate
- Probabilityintermediate
- Data Storytellingintermediate
- Data Visualizationintermediate
- Tableauintermediate
- R-Shinyintermediate
- Microstrategyintermediate
- SAP Business Objectsintermediate
- Lookerintermediate
- LLMintermediate
- ML Driven Product Algorithmsintermediate
- Success Metric Selection and Measurementintermediate
- Cross-functional Collaborationintermediate
- Strategic Partnershipintermediate
- Hypothesis Developmentintermediate
- Analytical Approachesintermediate
- Methodologiesintermediate
- Frameworksintermediate
- Technical Approachesintermediate
- Forecastingintermediate
- Monitoringintermediate
- Key Product Metricsintermediate
- Trend Analysisintermediate
Required Qualifications
- 8+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields (experience)
- Ability to craft analysis into well-written and persuasive content (experience)
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R) (experience)
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills (experience)
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems (experience)
- Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) (experience)
- Familiarity with LLM or ML driven product algorithms and success metric selection and measurement (experience)
Preferred Qualifications
- Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features (experience)
- Understanding of the SaaS business model and key metrics (experience)
- Experience in building solutions to improve the software development process (experience)
Responsibilities
- Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner
- Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges, especially focused on the Atlassian Intelligence suite of features
- Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
- Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations
- Partner with cross-functional teams to inform, influence, and execute strategy decisions
- Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
- Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Tags & Categories
Principal Machine Learning Engineer
Atlassian
Principal Machine Learning Engineer
Job Description
Principal Machine Learning Engineer
📋 Job Overview
As a Principal Machine Learning Engineer at Atlassian, you will influence AI product feature development and drive impactful change through data analysis and strategic recommendations. You will collaborate with cross-functional teams to solve business challenges, focusing on the Atlassian Intelligence suite, and use data to shape product development and quantify new opportunities.
📍 Location: Remote, India (Remote/Hybrid)
🏢 Category: Engineering
📅 Posted: 2025-11-06 01:43 PM
🎯 Key Responsibilities
- Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner
- Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges, especially focused on the Atlassian Intelligence suite of features
- Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
- Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations
- Partner with cross-functional teams to inform, influence, and execute strategy decisions
- Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
- Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
✅ Required Qualifications
- 8+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields
- Ability to craft analysis into well-written and persuasive content
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
- Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
- Familiarity with LLM or ML driven product algorithms and success metric selection and measurement
⭐ Preferred Qualifications
- Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features
- Understanding of the SaaS business model and key metrics
- Experience in building solutions to improve the software development process
🛠️ Required Skills
- Data Science
- Machine Learning
- Generative AI
- Quantitative Analysis
- Experimentation
- Data Presentation
- SQL
- Python
- R
- Statistical Concepts
- Regressions
- A/B Tests
- Clustering
- Probability
- Data Storytelling
- Data Visualization
- Tableau
- R-Shiny
- Microstrategy
- SAP Business Objects
- Looker
- LLM
- ML Driven Product Algorithms
- Success Metric Selection and Measurement
- Cross-functional Collaboration
- Strategic Partnership
- Hypothesis Development
- Analytical Approaches
- Methodologies
- Frameworks
- Technical Approaches
- Forecasting
- Monitoring
- Key Product Metrics
- Trend Analysis
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Locations
- Remote, India (Remote)
Salary
Estimated Salary Rangemedium confidence
4,000,000 - 6,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Scienceintermediate
- Machine Learningintermediate
- Generative AIintermediate
- Quantitative Analysisintermediate
- Experimentationintermediate
- Data Presentationintermediate
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Statistical Conceptsintermediate
- Regressionsintermediate
- A/B Testsintermediate
- Clusteringintermediate
- Probabilityintermediate
- Data Storytellingintermediate
- Data Visualizationintermediate
- Tableauintermediate
- R-Shinyintermediate
- Microstrategyintermediate
- SAP Business Objectsintermediate
- Lookerintermediate
- LLMintermediate
- ML Driven Product Algorithmsintermediate
- Success Metric Selection and Measurementintermediate
- Cross-functional Collaborationintermediate
- Strategic Partnershipintermediate
- Hypothesis Developmentintermediate
- Analytical Approachesintermediate
- Methodologiesintermediate
- Frameworksintermediate
- Technical Approachesintermediate
- Forecastingintermediate
- Monitoringintermediate
- Key Product Metricsintermediate
- Trend Analysisintermediate
Required Qualifications
- 8+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields (experience)
- Ability to craft analysis into well-written and persuasive content (experience)
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R) (experience)
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills (experience)
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems (experience)
- Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) (experience)
- Familiarity with LLM or ML driven product algorithms and success metric selection and measurement (experience)
Preferred Qualifications
- Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features (experience)
- Understanding of the SaaS business model and key metrics (experience)
- Experience in building solutions to improve the software development process (experience)
Responsibilities
- Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner
- Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges, especially focused on the Atlassian Intelligence suite of features
- Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
- Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations
- Partner with cross-functional teams to inform, influence, and execute strategy decisions
- Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
- Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Tags & Categories