FAQs
What is the duration of the internship?
The internship lasts for 12 weeks during Summer 2025, requiring a full-time commitment of 40 hours per week.
What qualifications are required for the Machine Learning Intern position?
Candidates must be pursuing a master's or bachelor's degree in a quantitative subject such as Mathematics, Computer Science, Statistics, Machine Learning, or Operations Research, or have relevant work experience.
Is prior experience in machine learning necessary for this internship?
Yes, candidates should have experience building machine learning models through academic coursework or related industry intern experience.
What programming languages should I be proficient in for this role?
Proficiency in writing software with minimal bugs in Python, Scala, or Spark is required, with SQL experience being a bonus.
Does Atlassian provide visa sponsorship for this internship?
No, unfortunately, Atlassian does not offer U.S. work visa sponsorship to F-1/OPT, J-1/TN, or H-1B students at this time.
What is the compensation range for the Machine Learning Intern position?
The compensation varies by geographic zone: Zone A: $54/hr - $61/hr, Zone B: $49/hr - $55/hr, and Zone C: $45/hr - $51/hr.
What kind of work will I be doing as a Machine Learning Intern at Atlassian?
As a Machine Learning Intern, you will focus on machine learning applications for recommendation and personalization, build machine learning models, and work on Generative AI projects.
Are there any benefits associated with this internship?
Yes, this role may be eligible for benefits, bonuses, commissions, and equity. Additionally, Atlassian offers various perks and benefits to support employees.
Can I apply if I am graduating before June 2026?
No, to be eligible for this internship, you must currently be enrolled in a full-time master's degree program and returning to your program after the internship completion, graduating by June 2026.
How does Atlassian support diversity and inclusion?
Atlassian is committed to ensuring that their products and culture incorporate everyone's perspectives and experiences, and they do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or other statuses.