Note: The job is a remote job and is open to candidates in USA. Atlassian develops collaboration software that helps teams work together. The Machine Learning Engineer will build and evaluate machine learning models and Generative AI applications, improve model and product quality through experimentation, and develop solutions with cross-functional partners. The role spans the machine learning lifecycle from prototyping and evaluation through deployment and monitoring, including agentic workflows using LLMs.
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, from prototyping and evaluation to deployment and monitoring
- Develop agentic workflows that combine LLMs, tools, and relevant product context to solve complex, multi-step problems
Skills
- This position is not eligible for F1 and J1 students
- It is not available for any work sponsorship
- Currently pursuing a bachelor's or master's degree in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related quantitative field, and graduating by August 2027
- Experience writing reliable software in Python or Scala; familiarity with SQL or Spark is a plus
- Experience applying machine learning through coursework, research, projects, or a relevant internship
- Strong problem-solving and data-driven analytical skills
Benefits
- Flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both
- Hands-on technical training
- Professional growth opportunities
- Dedicated mentorship
- Strong social connections
- Health and wellbeing resources
- Paid volunteer days
Company Overview