Principal Machine Learning Engineer
- Location
- Remote: Indiana, United States | Seattle, Washington, United States | Mountain View, California, United States | San Francisco, California, United States
- Track
- ML Engineer
- Level
- Staff
- Posted
- October 22, 2026
- Last checked
- October 30, 2026
- Source
- Built In
Job description
Engineering | Seattle, United States | San Francisco, United States | Mountain View, United States or Remote | Remote, Remote
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
We're looking for a senior technical leader who can shape systems and technical direction across multiple quarters while remaining close to architecture, experimentation, quality, and production systems.
You'll have the opportunity to work across a number of areas including model post training, personalization/recommendation, proactive and other agentic experiences.
You'll tackle ambiguous problems end to end: defining the approach, aligning partners, driving execution, and bringing solutions safely into production.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
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