Job description

Working at Atlassian Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed . Your Future Org 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 is a hybrid role located in Seattle, WA. You must be willing and able to work out of this location to qualify. This position is not eligible for F1 and J1 students. It is not available for any work sponsorship. Your future team 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. 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 & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes. Minimum Qualifications • 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 Qualifications • 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 Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.

Requirements

Must-haves

Working at Atlassian
Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both.
As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed .
Your Future Org
This is a hybrid role located in Seattle, WA. You must be willing and able to work out of this location to qualify.
Your future team
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
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 applying machine learning through coursework, research, projects, or a relevant internship
Strong problem-solving and data-driven analytical skills
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 applying machine learning through coursework, research, projects, or a relevant internship
Strong problem-solving and data-driven analytical skills

Nice-to-haves

Experience writing reliable software in Python or Scala; familiarity with SQL or Spark is a plus
Experience writing reliable software in Python or Scala; familiarity with SQL or Spark is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gomachine learningaipythonsql

Platform: atlassian
Effort: medium