Machine Learning Engineer, 2027 Graduate U.S.
About The Position
Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian! This role is located in the Seattle hub. You must be able to work from this hub to qualify. Atlassian’s machine learning teams tackle product and business challenges across the company. Working with partners across Product, Engineering, Growth, GTM, Finance, and Sales, we build machine learning infrastructure and intelligent product experiences. Our teams include machine learning and software engineers who value collaboration, knowledge sharing, rapid experimentation, and measurable impact. This role offers opportunities to work on areas such as search, recommendation, personalization, Generative AI applications, and large language models.
Requirements
- 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
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
Benefits
- health and wellbeing resources
- paid volunteer days
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
