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Principal Machine Learning Engineer
Atlassian
Remote · United StatesSalary not disclosedfull-timeAtlassian Careers
As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks — designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers.
Responsibilities
- Drive complex decisions that impact the work of teams and change their technical direction over multiple quarters
- Set the direction of systems and capabilities, balancing progress over perfection
- Design, develop, and deploy production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and achieve business objectives
- Conduct meticulous experimentation and model evaluations, backing decisions with data
- Develop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale
- Oversee end-to-end deployment of ML solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Collaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into products
- Partner across engineering teams to take on company-wide programs spanning multiple projects
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Contribute to programs of work that scale across the department
Languages
- Work format
- Remote
- Seniority
- Lead
- Added
- 5 Oct 2026
- Last verified
- In the last 5 days
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