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Atlassian is seeking a Senior Principal Machine Learning Engineer to join our Central AI organization. The Central AI organization develops the foundational infrastructure, data pipelines, frameworks, models, Gen AI and other capabilities to expedite AI feature development throughout the entire company.
Job Responsibility:
Steer the development and deployment of advanced machine learning algorithms and system architecture
Train complex models
Work in close collaboration with product, backend/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service
Design system and model architectures
Conduct meticulous experimentation and model evaluations
Mentor budding ML engineers
Harness the transformative power of AI across our product suite
Requirements:
Master’s degree or equivalent practical experience
10+ years of related industry experience in AI/machine learning domain
Expertise in Python or Java with the ability to write performant production-quality code
familiarity with SQL
knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement
Nice to have:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Experience in developing deep learning-based models and working on LLM-related applications
Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
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