AI/ML Intern: Build Real‑World Solutions with Mentors

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

Benefits offered by this job

Health and wellbeing resources

Paid volunteer days

Career development opportunities

Job summary

At Atlassian, a 12-week Summer 2027 AI/ML internship is available in either the Seattle or San Francisco hub. You will work on hands-on AI/ML projects under experienced engineers, focusing on real-world product problems, governance, and applied ML systems.

Applicants should be enrolled in a Master’s program in a quantitative field and be set to graduate by August 2028, with strong Python fundamentals and familiarity with testing, APIs, and data structures.

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 systems

NLP

LLM applications

RAG

Education

Master's degree in quantitative field

Tools

Git

Job description

At Atlassian, a 12-week Summer 2027 AI/ML internship is available in either the Seattle or San Francisco hub. You will work on hands-on AI/ML projects under experienced engineers, focusing on real-world product problems, governance, and applied ML systems.

Applicants should be enrolled in a Master’s program in a quantitative field and be set to graduate by August 2028, with strong Python fundamentals and familiarity with testing, APIs, and data structures.