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Atlassian

Principal Machine Learning Engineer

Reposted 17 Days Ago
In-Office or Remote
Hiring Remotely in IN, USA
196K-309K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in IN, USA
196K-309K Annually
Expert/Leader
Lead machine learning architecture and technical direction across multiple quarters while remaining involved in experimentation, quality, and production systems. Work across model post-training, personalization and recommendation, and agentic experiences. Define solutions for ambiguous problems, align cross-functional partners, drive execution, and safely bring ML systems into production.
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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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Atlassian New York, New York, USA Office

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

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