Machine Learning Intern, 2027 Summer U.S.

Atlassian; San Francisco (CA); On-site; USD 74,000 - 84,000; Full time

Job summary

Atlassian’s Summer 2027 AI/ML Internship is based in the Seattle or San Francisco hubs. You will work on hands‑on ML projects under mentorship, contributing to governance, recommendation, or ML platform work depending on placement.

Must be enrolled in a Master’s program and graduate by Aug 2028, with strong Python and ML fundamentals. You’ll gain real-world experience building AI/ML solutions, collaborating with engineers and researchers, and presenting measurable improvements in quality and

Qualifications

• 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.

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.

Skills

Python

Testing

Version control

APIs

Data structures

Debugging

ML/AI systems

NLP

Recommendation systems

LLM applications

RAG

Agents

Model evaluation

AI-assisted tools

Communication

Problem solving

Education

Master’s degree in a quantitative field

Job description

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. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed.

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 the Seattle or San Francisco hub. You must be able to work from one of these hubs to qualify.

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

At Atlassian, we build AI/ML products, platforms, and infrastructure that solve business, product, security, and engineering challenges across the company. Our work spans AI‑powered governance and compliance, applied ML systems for recommendation and optimization, and foundational ML platforms, partnering with teams across Engineering, Product, Growth, Sales, Marketing, and Security. 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.

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.

Pay Ranges

In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

• Zone A: $54/hr - $61/hr


• Zone B: $49/hr - $55/hr


• Zone C: $45/hr - $51/hr

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

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 https://www.atlassian.com/company/careers/earlycareers.

Qualifications

• 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.

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 go.atlassian.com/crh.