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Senior Machine Learning Engineer - job 1 of 5

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

Innovate core intelligence solutions within company’s DevAI products including but not limited to LLM(Large Language Model) integration, prompt engineering, and the development of end-to-end AI featuresusing cutting-edge technologies. Collaborate closely with a diverse and highly skilled group of scientistsand software engineers and multiple partner teams across the company to communicate technical detailseffectively to the team and engage in technical discussions to contribute ideas and solutions. Design LLMbased methodology and algorithms tailored to specific product needs. Perform data preprocessing andfeature engineering to improve product inputs and performance. Conduct experiments to evaluate theperformance of products and use a variety of metrics and testing methods to ensure the solutions meetdesign specifications. Implement and optimize machine learning pipelines. Monitor and maintain thedeployed intelligence solutions to ensure they continue to perform accurately and efficiently.

Qualifications

MINIMUM REQUIREMENTS:Must have a Bachelor’s degree in Computer Science, Management Science and Engineering, or a relatedfield.Must have three (3) years of experience in IT tech industry on Machine Learning related domains,including experience building and scaling machine learning models in business applications using largeamounts of data;Must have three (3) years of experience with demonstrated ability to communicate and explain datascience concepts to diverse audiences, crafting a compelling story;Must have three (3) years of experience working with Agile development mindset, appreciating the benefitof constant iteration and improvement; andMust have three (3) years of experience in developing deep learning-based models and working on LLM-related applications.SPECIAL REQUIREMENTS: Must pass technical interview.Offered Wage: $202,500 - $264,375 per year

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.

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Average salary estimate

$233437.5 / YEARLY (est.)
min
max
$202500K
$264375K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Atlassian's mission is to unleash the potential in every team—including our own. We know that the highest performing teams include people with diverse perspectives and ways of solving problems.

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CULTURE VALUES
Customer-Centric
Empathetic
Collaboration over Competition
Feedback Forward
Inclusive & Diverse
Mission Driven
Diversity of Opinions
Rise from Within
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Dental Insurance
Vision Insurance
Maternity Leave
Mental Health Resources
Equity
401K Matching
Employee Resource Groups
Performance Bonus
Education Stipend
Life insurance
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
September 23, 2025
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