Atlassian
Overview
Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work.
Responsibilities As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting‑edge machine learning algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to embed AI functionalities into each Atlassian product and service. Your daily responsibilities include designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. You play a pivotal role in ensuring AI’s transformative potential is realized across our offerings.
Qualifications On the first day, we'll expect you to have
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
5+ years of related industry experience in the data science domain
Expertise in Python or Java with the ability to write performant production‑quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
Agile development mindset, appreciating the benefit of constant iteration and improvement
It’s Great, But Not Required, If You Have
Experience with continued pre‑training, fine‑tuning, and optimizing state‑of‑the‑art text and multimodal embedding models, information retrieval models, and/or LLMs
Experience developing deep learning‑based models and LLM‑related applications, especially agentic workflows and multi‑step reasoning systems
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Excelling in solving ambiguous and complex problems, navigating through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. For this role, our current base pay ranges for new hires in each zone are:
Zone A: USD 232,200 – USD 303,150
Zone B: USD 209,700 – USD 273,775
Zone C: USD 193,500 – USD 252,625
This role may also be eligible for benefits, bonuses, commissions, and equity.
Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family, and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
go.atlassian.com/perksandbenefits .
About Atlassian At Atlassian, we’re motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit
go.atlassian.com/crh .
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Software Development
#J-18808-Ljbffr
Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work.
Responsibilities As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting‑edge machine learning algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to embed AI functionalities into each Atlassian product and service. Your daily responsibilities include designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. You play a pivotal role in ensuring AI’s transformative potential is realized across our offerings.
Qualifications On the first day, we'll expect you to have
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
5+ years of related industry experience in the data science domain
Expertise in Python or Java with the ability to write performant production‑quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
Agile development mindset, appreciating the benefit of constant iteration and improvement
It’s Great, But Not Required, If You Have
Experience with continued pre‑training, fine‑tuning, and optimizing state‑of‑the‑art text and multimodal embedding models, information retrieval models, and/or LLMs
Experience developing deep learning‑based models and LLM‑related applications, especially agentic workflows and multi‑step reasoning systems
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Excelling in solving ambiguous and complex problems, navigating through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. For this role, our current base pay ranges for new hires in each zone are:
Zone A: USD 232,200 – USD 303,150
Zone B: USD 209,700 – USD 273,775
Zone C: USD 193,500 – USD 252,625
This role may also be eligible for benefits, bonuses, commissions, and equity.
Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family, and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
go.atlassian.com/perksandbenefits .
About Atlassian At Atlassian, we’re motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit
go.atlassian.com/crh .
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Software Development
#J-18808-Ljbffr