Machine Learning Engineer, Graduate U.S
Listed on 2026-10-18
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Software Development
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Machine Learning Engineer, 2027 Graduate U.S.
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 .
Your Future OrgAtlassian’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.
This position is not eligible for F1 and J1 students. It is not available for any work sponsorship.
Your future teamAtlassian’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.
ResponsibilitiesBuild 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
Minimum QualificationsCurrently 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
QualificationsCurrently 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
CompensationAt 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.
In The United States
, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $146,700 - $191,525
Zone B: $132,030 - $172,373
Zone C: $121,761 - $158,966
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
About AtlassianAt Atlassian, we're motivated by a…
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