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

‍