Qualifications On your first day, we’ll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL.Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks)Experience building and scaling machine learning models using large amounts of dataExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working on LLM-related applicationsExcelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutionsCompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $178,200 - $232,650Zone B: $160,380 - $209,385Zone C: $147,906 - $193,100This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones (http://go.atlassian.com/payzones) for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Our perks & benefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community.Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit (http://go.atlassian.com/perksandbenefits) to learn more.About AtlassianAt 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 beimpossible alone, possible together.Cookies are used on this site to assist in continually improving the candidate experience and all the interaction data we store of our visitors is anonymous. Learn more about your rights on our Privacy Policy (https://www.icims.com/legal/privacy-notice-website/) page.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, genderidentity 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 (http://go.atlassian.com/crh).Read the full posting
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Develop and implement machine learning algorithms and train models
Design system and model architectures
Run rigorous experiments and model evaluations
Apply AI/ML to product problems to improve Atlassian products
Build AI functionality into Atlassian products and services
work on the development and implementation of the cutting edge machine learning algorithms, training models
designing system and model architectures
conducting rigorous experimentation and model evaluations
application of AI/ML to various product problems to improve Atlassian products
to build the AI functionalities into each Atlassian products and services
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
Expertise in Python or Java with and the ability to write performant production-quality code
Experience building and scaling machine learning models using large amounts of data
Experience in developing deep learning-based models and working on LLM-related applications
familiarity with SQL
Qualifications On your first day, we’ll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL.Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks)Experience building and scaling machine learning models using large amounts of dataExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working on LLM-related applicationsExcelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutionsCompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $178,200 - $232,650Zone B: $160,380 - $209,385Zone C: $147,906 - $193,100This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones (http://go.atlassian.com/payzones) for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Our perks & benefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community.Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit (http://go.atlassian.com/perksandbenefits) to learn more.About AtlassianAt 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 beimpossible alone, possible together.Cookies are used on this site to assist in continually improving the candidate experience and all the interaction data we store of our visitors is anonymous. Learn more about your rights on our Privacy Policy (https://www.icims.com/legal/privacy-notice-website/) page.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, genderidentity 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 (http://go.atlassian.com/crh).
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 71.
At Atlassian, jobs usually come down by about day 25.
From 4,619 similar postings that came down, and 26 of Atlassian’s. Coming down is not always a hire.
48 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Already applied? Track this application
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Working at AtlassianAtlassians 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.Your Future TeamThe mission of Atlassian is to unleash 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. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for rockstar Machine learning engineers to come help us to further this mission and help make teams more productive leveraging AI across our product portfolio.
What you'll doAs a Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute toAtlassian Intelligence features.
On your first day, we’ll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL.Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks)Experience building and scaling machine learning models using large amounts of dataExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working on LLM-related applicationsExcelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutionsCompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $178,200 - $232,650Zone B: $160,380 - $209,385Zone C: $147,906 - $193,100This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones (http://go.atlassian.com/payzones) for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Our perks & benefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community.Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit (http://go.atlassian.com/perksandbenefits) to learn more.About AtlassianAt 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 beimpossible alone, possible together.Cookies are used on this site to assist in continually improving the candidate experience and all the interaction data we store of our visitors is anonymous. Learn more about your rights on our Privacy Policy (https://www.icims.com/legal/privacy-notice-website/) page.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, genderidentity 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 (http://go.atlassian.com/crh).
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