Machine Learning Engineer, 2026 Graduate Canada

Working at Atlassian
Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both.

As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at

Your Future Org

Atlassian's Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian

• Our new grad roles are not eligible for Canada work visa sponsorship for immediate employment. Candidates with a Post-Graduation Work Permit (PGWP) or any valid open work permit are welcome to apply.

• This role is located in Vancouver, Burnaby or Richmond. You must be willing and able to work out of one of these locations to qualify.

Your Future Team

At Atlassian, our machine learning teams tackle business and product challenges across the company. Collaborating with stakeholders in Growth, GTM, Product, Finance, and Sales, we deliver machine learning infrastructure and model applications. Our teams, comprised of ML engineers and system engineers, foster collaboration, knowledge sharing, and individual growth. They operate nimbly, emphasizing speed from conceptualization to initial output while maintaining a strong focus on business impact. This role offers a unique chance to work in a collaborative environment and implement cutting-edge machine learning techniques, including search/recommendation engines, GenAI applications, LLM training, and more.

Responsibilities

• Focus on Machine Learning applications and ideas for recommendation and personalization

• Build machine learning models and work on Generative AI projects

• Translate business problems into technical solutions

Minimum Qualifications

• Currently enrolled full time in a Masters Degree program in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research) and are graduating by June 2026.

Preferred Qualifications

• Experience writing software with minimal bugs in Python, Scala, or Spark; SQL experience a bonus

• Experience building machine learning models in academic coursework or related industry intern experience

Compensation

At 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 Canada, we have one geographic pay zones. For this role, our current base pay range for new hires in this zone is:

Zone A: 101,700 CAD - 132,775 CAD

Benefits and 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

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