Applied AI/ML Intern — Mentored Projects & Impact

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

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