Your Future Org

Atlassian’s Intern 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!

This role is located in San Francisco. You must be willing and able to work within 50 miles of our San Francisco office to qualify. Housing support will be provided.

This position is not eligible for F1 and J1 students. It is not available for any work sponsorship.

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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, Design 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 fine-tuning, prompt engineering, RAG optimizations, and more.

• 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

• Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience)
• Experience writing software with minimal bugs in Python, Scala, Kotlin or Spark; SQL experience a bonus
• Experience building machine learning models in academic coursework or related industry intern experience
• Able to commit to a 12 week full-time (40hrs/week) program during Summer 2026
• Currently enrolled in a full-time masters degree program and returning to the program after the completion of the internship, graduating by June 2027

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