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About the Role
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 the Seattle or San Francisco hub. You must be able to work from one of these hubs to qualify. At Atlassian, we build AI/ML products, platforms, and infrastructure that solve business, product, security, and engineering challenges across the company. Depending on team placement, you may contribute to governance and compliance intelligence, recommendation and optimization systems, or platforms for ML development, serving, and observability. You will work with experienced mentors on a focused project, developing your skills while delivering measurable improvements in quality, reliability, or user outcome.
Responsibilities
- Build and evaluate applied AI/ML solutions for real-world product and business problems, with mentorship from experienced engineers.
- Contribute to machine learning and Generative AI projects, including models, agents, retrieval, and evaluation workflows.
- Translate business and product needs into well-scoped technical projects, from experimentation and prototyping to working implementations.
- Evaluate and improve AI/ML solutions through experimentation, error analysis, user feedback, and measurable results.
- Communicate findings clearly and document results, trade-offs, limitations, and next steps.
Requirements
- Currently enrolled in a full-time Master’s degree program in a quantitative field (Computer Science, Machine Learning, AI, Data Science, Statistics, Mathematics, or related field), returning to the program after the internship, and graduating by August 2028.
- Strong software engineering fundamentals, with experience in Python and familiarity with testing, version control, APIs, data structures, and debugging.
- Hands-on experience building machine learning or AI systems through coursework, research, or industry internships, including areas such as recommendation/ranking, NLP, classification, embeddings, LLM applications, RAG, agents, or model evaluation.
- Uses AI-assisted tools thoughtfully for development and experimentation, validates generated code and outputs, and can explain where AI adds value, its limitations, and when a simpler approach is more appropriate.
- Strong problem-solving and communication skills, with a curious, AI-first mindset and an interest in building reliable and responsible AI/ML solutions.
- Able to commit to a 12-week, full-time (40 hours/week) Summer 2027 internship.
- This position is not eligible for F1 and J1 students.
- It is not available for any work sponsorship.
Skills
- Python
- testing
- version control
- APIs
- data structures
- debugging
- recommendation/ranking
- NLP
- classification
- embeddings
- LLM applications
- RAG
- agents
- model evaluation
- AI-assisted tools
Location
- Seattle
- San Francisco
Work Type
- Distributed
- Full-time
- Internship
Experience Level
- Intern
Education Level
- Master’s degree program in a quantitative field (Computer Science, Machine Learning, AI, Data Science, Statistics, Mathematics, or related field)
Salary/Compensations
- Zone A: $54/hr - $61/hr
- Zone B: $49/hr - $55/hr
- Zone C: $45/hr - $51/hr
Benefits
- Health and wellbeing resources
- Paid volunteer days
About the Company
- 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.
Equal Opportunity
- 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.