Base Salary
$122k - $192k/yr
Responsibilities
- Build and evaluate machine learning models and Generative AI applications.
- Use data, experimentation, and feedback to improve model and product quality.
- Translate customer and business problems into technical solutions with cross-functional partners.
- Contribute across the machine learning lifecycle, including prototyping, evaluation, deployment, and monitoring.
- Develop agentic workflows combining LLMs, tools, and relevant product context.
Requirements
- Currently pursuing a bachelor’s or master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related quantitative field, with graduation by August 2027.
- Experience writing reliable software in Python or Scala.
- Experience applying machine learning through coursework, research, projects, or a relevant internship.
- Strong problem-solving and data-driven analytical skills.
- Familiarity with SQL or Spark is preferred.
Benefits
- Grad++ provides hands-on technical training, professional growth opportunities, dedicated mentorship, and social connections.
- The role is based in Atlassian’s Seattle hub and requires working from that hub; Atlassian also supports working from home, global offices, or both where teams collaborate effectively.
- Interviews are conducted virtually.
- Benefits include health and wellbeing resources and paid volunteer days.
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.