Senior Machine Learning Engineer

Atlassian · India · 3+ yrs experience · Posted 2025-10-01

Tech stack: Python, SQL

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About the role

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities In this role, you will: 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 through the structure and clarity of your work. 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 focussed on the fast-paced 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. You will 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. Qualifications Minimum Qualifications / Your background: 3+ Years of Experience in Data Science, Machine Leaning, 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 Desirable 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.

Qualifications

- Minimum Qualifications / Your background: 3+ Years of Experience in Data Science, Machine Leaning, 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 Desirable 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.

Responsibilities

- In this role, you will:
- 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 through the structure and clarity of your work.
- 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 focussed on the fast-paced 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.
- You will 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.

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