2 months ago
Seattle, WA, USA or San Francisco, CA, USAIntern
Responsibilities
- Build and evaluate applied AI/ML solutions for product and business problems with mentorship from experienced engineers.
- Contribute to machine learning and Generative AI projects involving models, agents, retrieval, and evaluation workflows.
- Translate business and product needs into scoped technical projects from experimentation and prototyping through implementation.
- Improve AI/ML solutions through experimentation, error analysis, user feedback, and measurable results.
- Communicate findings and document results, trade-offs, limitations, and next steps.
Requirements
- Currently enrolled full time in a quantitative Master’s degree program such as Computer Science, Machine Learning, AI, Data Science, Statistics, Mathematics, or a related field; returning 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 recommendation/ranking, NLP, classification, embeddings, LLM applications, RAG, agents, or model evaluation.
- Thoughtful use of AI-assisted development tools, including validation of generated code and outputs and understanding of their value and limitations.
- Strong problem-solving and communication skills, curiosity, and interest in reliable and responsible AI/ML solutions.
- Ability to commit to a 12-week, full-time, 40-hour-per-week Summer 2027 internship.
Benefits
- Hybrid work arrangement in Seattle, Washington or San Francisco, California.
- 12-week Summer 2027 internship with mentorship, technical training, professional growth opportunities, and social connections.
- Health and wellbeing resources and paid volunteer days.
- Base pay ranges from $45/hr to $61/hr depending on U.S. geographic pay zone; the role may also be eligible for benefits, bonuses, commissions, and equity.
Tech Stack
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.